| 1 |
Author(s):
Dr. Varalakshmi, Vrashti, Chirag, Asmit, Lanchenba and Mithesh.
Page No : 1-2
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Brand Legacy in the Digital Era
Abstract
Brand legacy has traditionally been built through consistent messaging, quality products, and
cultural significance. However, in the digital era, maintaining this legacy presents new
challenges and opportunities. The rapid evolution of digital platforms, shifting consumer
behaviours, and increasing competition from digitally native brands have forced traditional
legacy brands to adapt to new paradigms. Digital transformation is no longer an option but a
necessity for brands seeking to sustain their reputation and market position.
This research explores how legacy brands adapt to digital transformation, leveraging social
media, influencer marketing, e-commerce, and digital storytelling to stay relevant. It
examines the role of data-driven decision-making, artificial intelligence, and blockchain
technology in maintaining brand integrity and authenticity. Additionally, the study delves into
how consumer engagement has shifted from one-way communication to an interactive and
participatory model, requiring brands to create immersive experiences and foster online
communities.
Using qualitative case studies, we analyze successful digital strategies implemented by legacy
brands and highlight key challenges they face in this evolving landscape. The findings suggest
that digital engagement, authenticity, and innovation are critical for preserving brand
heritage while staying competitive in a fast-changing market. Moreover, the research
underscores the importance of balancing tradition with modernity, ensuring that the essence
of a brand’s legacy is not diluted in the pursuit of digital relevance. By understanding the
intersection of legacy and technology, brands can create sustainable strategies that maintain
their heritage while thriving in the digital economy.
| 2 |
Author(s):
Shreyash Giri.
Page No : 1-2
|
Solar Power Outdoor Air Purifier & Air Quality Monitor
Abstract
Air pollution has become a serious problem these modern days. Air pollution is present outside the environment and has become difficult to provide safety inside the house. This polluted air can cause many serious health problems in cities. If someone is suffering from breathing problems like asthma and sinus or-suffering from any lung problem then air-purifier acts as a surviving tool. Air purifier reduces the chances of health issues caused by infection or symptoms in asthma suffering. The IoT-based solar-powered outdoor air purifier and air quality monitoring system is designed to address the growing need for sustainable solutions to combat air pollution.
The use of the ESP8266 microcontroller, this project integrates the MQ135 air quality sensor, a relay module, and a solar-powered air purifier to monitor and improve outdoor air quality.
| 3 |
Author(s):
Ifra Momin .
Page No : 1-2
|
Power Shifts and Betrayal in Julius Caesar
Abstract
William Shakespeare, in his masterpiece, Julius Caesar, crafts a perfect political tragedy which demonstrates the uncanny qualities of power alongside human loyalty shifts and destiny that follows ambition. Political life manifests unpredictability through the shifting plots that the play demonstrates. This analysis explores Shakespearean methods of plotting along three specific aspects starting from Caesar's conspiracy growth up to post-assassination public responses and ending with Roman civil war development. These changing plot developments demonstrate that power is unstable and how psychological elements influence human behavior.
| 4 |
Author(s):
SANSKRUTEE PAWAR, CHANDANI TAIKOTE, ATISH ROY, VISHAL RATHOD, Prof. Y.B. Patel.
Page No : 1-2
|
VERTICAL LIFTING BRIDGE
Abstract
This research explores the replacement of the Pamban Bascule Bridge in Tamil Nadu, India, with a vertical lift bridge. A vertical lift bridge provides better operational efficiency, lower maintenance, and higher load capacity, especially important for rail traffic. The paper includes comparative analysis, structural evaluation, and practical implementation of hydraulic actuated lifting systems to enhance the bridge’s functionality and ensure seamless marine navigation.
| 5 |
Author(s):
nirmiti sawant,tanvi lakade,shweta sutar,shraya gaikwad.
Page No : 1-2
|
fire fighting robot using arduino uno
Abstract
ABSTRACT
This research paper discusses the design and development of a fire fighting robot based on the Arduino microcontroller platform. The robot is designed to navigate manually through an environment and extinguish fires using a water pump and nozzle pair. The paper presents the hardware and software components of the robot, including the motor control system, sensors, and algorithms for obstacle detection and fire detection (Open CV). The robot is also equipped with a wireless communication (Bluetooth module) system that enables remote control and monitoring of its activities. Overall, this study demonstrates the feasibility and effectiveness of using Arduino - based platforms for the development of advanced firefighting robots.
Keywords: Fire Fighting, Arduino, Flame Sensing, Autonomous
| 6 |
Author(s):
aanchal verma.
Page No : 1-2
|
Augmented Reality
Abstract
Augmented Reality (AR) is a revolutionary technology that enhances the real-world environment by overlaying digital elements such as images, sounds, videos, or 3D models onto it. Unlike Virtual Reality (VR), which immerses users in a completely simulated environment, AR preserves the real-world context and enriches it with virtual elements.
| 7 |
Author(s):
Dhanaraj V.
Page No : 1-3
|
A STUDY ON EMPLOYEE PERFORMANCE MANAGEMENT SYSTEM AT NISHA GRAPHICS.
Abstract
Employee performance management is crucial for organizational success as it ensures employees
are aligned with business goals and continuously improve their skills. This study explores the
performance management system at Nisha Graphics, evaluating its effectiveness in enhancing
productivity, motivation, and job satisfaction. It analyzes performance evaluation methods,
feedback mechanisms, and employee engagement strategies to identify strengths and areas for
improvement. The study aims to provide insights into how an optimized performance
management system can drive organizational growth and employee retention. The findings will
help refine HR policies and contribute to a structured approach to employee performance.
Keywords: Employee Performance, Performance Management System, Employee Productivity,
Performance Evaluation, HR Policies, Employee Engagement
| 8 |
Author(s):
Arpit Ramteke, Nikhil Itankar, Ritesh Bramhankar, Kartik Nirwan, Dnyaneshwar Dongare, Prof. Sheha Kamble.
Page No : 1-3
|
Gas Nova
Abstract
This study examines the architecture, deployment, and efficacy of GAS Nova, an IoT-enabled system designed to detect and prevent gas leaks in residential and industrial environments. Utilizing precision gas sensors, the system identifies leaks, activates automatic shut-off valves, and transmits instant notifications to users via a mobile interface. Innovations such as modular hardware, IoT interoperability, and adherence to safety protocols distinguish GAS Nova from conventional solutions. Evaluations indicated an 80% detection accuracy rate, 85% system uptime, and swift response to gas leaks. The project bridges gaps in traditional safety mechanisms by merging automation with user-centric accessibility. Future upgrades may integrate AI-powered analytics and broader smart home ecosystem compatibility.
| 9 |
Author(s):
Amar Vangad.
Page No : 1-3
|
Evaluation of Service Quality of Restaurants in the Region of DNH & DD, India
Abstract
Restaurant businesses within service sector attract the entrepreneurs from all the walks of business ecosystem. Reason of attraction is the evergreen demand in this business. However, who sustains in the business is determined by its ‘Service Quality’. Service quality in the restaurant business is crucial for customer satisfaction and loyalty. It encompasses staff training, efficiency, ambiance, menu quality, technology integration, personalization, and continuous improvement. Well-trained staff ensure polite and efficient customer interaction, while streamlined kitchen operations and prompt service enhance efficiency. A welcoming atmosphere and high cleanliness standards create a pleasant dining experience. Using quality ingredients and offering diverse menu options cater to different tastes. Technology integration for online orders and reservations adds convenience. Personalizing service and recognizing special occasions enhance customer experience. Regular quality checks and staff feedback ensure continuous improvement in service quality. This paper examines the ‘Service Quality’ of the restaurants in the region of DNH & DD, India. A scale developed by (Saneva & Chortoseva, 2018) was adopted to collect the responses for this study.
| 10 |
Author(s):
Kalisvikramkumar .
Page No : 1-3
|
Precision Line Detection in Kabaddi Using LiDAR Technology
Abstract
This paper presents an innovative LiDAR-based detection system designed to automatically identify and report player line touches in Kabaddi, including boundary line, middle line, and bonus line crossings. The system utilizes LiDAR sensors to monitor player movement across the court, enabling real-time, automated feedback with high accuracy. The integration of LiDAR technology improves the objectivity of refereeing by eliminating human error and providing instant detection of violations. The developed system comprises a LiDAR sensor, microcontroller-based processing unit, and a mobile application for real-time feedback. Experimental evaluations show that the system achieves high detection accuracy, with minimal false positives, and can be seamlessly integrated into professional Kabaddi tournaments to enhance gameplay fairness and efficiency.
| 11 |
Author(s):
Shrisowndarya R P .
Page No : 1-3
|
IMPACT OF SOCIAL MEDIA ADVERTISING ON CONSUMER TRUST AND SATISFACTION
Abstract
The current digital age has transformed the way consumers interact with service providers, especially in the education and research domain. Social media serves as a critical touchpoint in shaping customer perceptions of credibility, trust, and satisfaction. This study explores the relationship between social media credibility and its influence on client trust and satisfaction among clients. Additionally, the moderating role of education level is examined to understand how demographic differences may impact these relationships. Using primary data collected from 60 participants through a structured questionnaire and applying statistical tools such as Pearson correlation and ANOVA, the study reveals strong positive associations among the key variables. The results also highlight that education level significantly influences trust but has a limited effect on credibility and satisfaction. These findings have implications for service-based businesses that rely on digital communication to improve client engagement and retention.
| 12 |
Author(s):
Utkarsh Singh.
Page No : 1-3
|
The effectiveness of Arbitration in India ( Challenges, Enforcement & History)
Abstract
This article examines the legal landscape of arbitration in India, critically analysing the synergy between legislative intent and judicial approach, while evaluating the nation’s readiness to position itself as a global arbitration hub. The paper concludes with recommendations for strengthening arbitration culture through consistent policy measures, enhanced infrastructure, and a paradigm shift toward institutionalization.
| 13 |
Author(s):
A Rizwanth.
Page No : 1-3
|
A STUDY ON EMPLOYEE MANAGEMENT SYSTEM AT BLUGREEN ANGEL PEARL PRIVATE LIMITED
Abstract
The Employee Management System is a software application developed to help small-scale industries manage employee details and attendance easily and at a lower cost. Many small companies in India still use pen and paper to maintain records, which can lead to errors and time-consuming work. This system provides two applications — one for employers to manage employee data like attendance, salary, overtime, holidays, and work schedules, and another for employees to mark their attendance and apply for leaves. The system allows the admin to add new employees, departments, and posts. It stores complete employee information, including personal details, education, experience, and skills. Employees can update their profiles, apply for leave, and get notifications from the admin. The leave requests are approved or rejected by the admin based on availability.
| 14 |
Author(s):
Nanditha V.
Page No : 1-3
|
THE STUDY ON EMOTIONAL INTELLIGENCE AND WORK-LIFE BALANCE OF SUTHERLAND EMPLOYEES
Abstract
In today’s dynamic work environment, achieving a balance between professional and personal life is a crucial concern for employees and organizations alike. This study explores the relationship between Emotional Intelligence (EI) and Work-Life Balance (WLB) among employees at Sutherland Global Services. Emotional Intelligence, which involves the ability to recognize, understand, and manage emotions, plays a significant role in handling workplace stress and fostering positive relationships. However, findings from this research suggest that while EI helps employees manage stress, its direct impact on WLB is weak, with organizational policies, workload, and family responsibilities being the primary influencing factors. The study employs a descriptive research design, analyzing data from a sample of 376 employees using statistical tools such as percentage analysis, chi-square, and correlation analysis. The results indicate that gender does not significantly affect WLB priorities, and there is a moderate positive correlation between EI and WLB. Based on these insights, the study recommends workplace interventions such as flexible work arrangements, stress management programs, and supportive organizational policies to enhance employees’ ability to balance work and personal life. This research provides valuable insights for organizations seeking to improve employee well-being, productivity, and job satisfaction through effective HR strategies.
| 15 |
Author(s):
ADITI JAIN, ARYAN YADU, ADITIYA JAISWAL, Dr. Abha Choubey.
Page No : 1-3
|
DRIVER DROWSINESS DETECTION USING PYTHON AND MACHINE LEARNING
Abstract
This work presents a new driver drowsiness detection system implemented with Python and machine learning (ML) methods for improved road safety. The system makes use of the eye aspect ratio (EAR) as the major measure to detect drowsiness, supplemented by yawn detection (through mouth aspect ratio, MAR) and eye focus monitoring (through gaze tracking and blink frequency analysis). The method uses real-time video processing with OpenCV, dlib-based facial landmark detection, and an SVM-trained ML classifier based on extracted features. Experimental testing with 20 volunteer drivers under different conditions (daylight, nighttime, and simulated drowsiness) resulted in a 92% accuracy of drowsy state detection with a false positive rate minimized by 15% through multi-feature integration. The findings highlight the potential for real-world deployment of the system, though areas of improvement include low-light performance (85% accuracy) and computational loads. The research makes a scalable, cost-effective contribution to the field of intelligent transportation, with future improvements suggested in the form of larger data sets and hardware integration.
| 16 |
Author(s):
Shreyashree Y.
Page No : 1-3
|
Next-Gen Industrial Connectivity: The Rise of Private 5G Networks
Abstract
Private 5G technology is reshaping enterprise connectivity by offering high-speed, low-latency, and secure wireless communication tailored to organizational needs. Unlike public cellular networks, private 5G provides complete control over network setup, security, and service quality, making it ideal for industries with mission-critical operations. This paper surveys the fundamental components and architecture of private 5G networks, various deployment strategies including standalone and hybrid models, and the regulatory considerations around spectrum allocation. It highlights real-world applications across sectors like manufacturing, mining, healthcare, and logistics, where reliable real-time data exchange is essential. The paper also identifies existing research challenges such as network slicing, system integration, and scalability. Furthermore, it explores emerging trends like AI-based automation and edge computing. The aim is to offer a comprehensive understanding of private 5G networks, assisting researchers and industry professionals in leveraging its potential for digital transformation.
| 17 |
Author(s):
V Anitha, Ranjith Kumar V.
Page No : 1-3
|
EFFECTIVE PROMOTIONAL STRATEGY
Abstract
An effective promotional strategy plays a vital role in the success of any business by influencing consumer behavior and enhancing brand awareness. This study explores the importance of creating and implementing promotional strategies that align with organizational goals, target audience preferences, and current market trends. A well-designed promotional mix—including advertising, sales promotion, public relations, direct marketing, and digital marketing—can significantly improve a company’s visibility and sales performance.
The research focuses on how businesses can integrate both traditional and modern promotional tools to reach their customers effectively. It highlights the significance of understanding the target market, using appropriate media channels, and ensuring consistent messaging across all platforms. The study also emphasizes the role of creativity, timing, and personalization in maximizing the impact of promotional efforts.
| 18 |
Author(s):
N Vasudha, Sudheer V.
Page No : 1-3
|
EMPLOYEE BENEFITS & MOTIVATION WITH REFERENCE WITH RESPECT TO MAHINDRA MAHINDRA
Abstract
This study explores the relationship between employee benefits and motivation at Mahindra & Mahindra, a leading multinational automotive and manufacturing company in India. In today’s competitive corporate environment, employee motivation is a critical factor that drives productivity, innovation, and organizational loyalty. The objective of this research is to assess how various employee benefits—monetary and non-monetary—impact motivation and job satisfaction at Mahindra & Mahindra. Data was collected through structured employee questionnaires and interviews with HR personnel across multiple departments. Secondary data was also sourced from company HR manuals, reports, and industry case studies. The findings reveal that comprehensive benefits such as performance-linked incentives, health insurance, retirement plans, skill development opportunities, and work-life balance initiatives significantly contribute to employee motivation. Employees expressed higher levels of engagement and commitment when they felt supported and valued by the organization. However, areas like timely promotions and personalized recognition were identified as needing improvement. The study concludes by recommending enhancements in benefit communication, feedback mechanisms, and personalized reward strategies to sustain high motivation levels. Strengthening these aspects can further improve retention and organizational performance at Mahindra & Mahindra.
| 19 |
Author(s):
Aman Jain (aman_jain2022@cms.ac.in) S Nitin (nitin_2022@cms.ac.in) Kishandeep KJ (kishandeep_k2022@cms.ac.in) S Ridhi (ridhi_jain2022@cms.ac.in) Ms. Varalakshmi (varalakshmi@cms.ac.in).
Page No : 1-4
|
The rise of digital arrests: Implications for cybercrime and justice
Abstract
The concept of digital arrest is an emerging issue at the intersection of cybersecurity, law enforcement, and human rights. It refers to the restriction of an individual’s online presence, access to digital services, or use of electronic devices as a form of legal enforcement or punitive action. Governments and law enforcement agencies increasingly use digital tools to monitor, detain, or control individuals in cyberspace. While digital arrests can aid in crime prevention and national security, they raise significant concerns about privacy, freedom of expression, and due process. This paper examines case studies and legal frameworks to understand the implications of digital arrest across different jurisdictions. Solutions such as stronger digital rights protections, legal safeguards, and international regulatory cooperation are necessary to prevent abuse. By balancing security needs with civil liberties, societies can develop fair and transparent digital enforcement mechanisms. Every sovereign nation's infrastructure is very important and includes the criminal justice system. The main purpose of it is to keep people safe, but it also aids in the detection of illegal behavior. [DR. Aditya Tomar] This research contributes to the growing debate on the future of law enforcement in the digital age.
| 20 |
Author(s):
RAJKUMAR.M.
Page No : 1-4
|
A STUDY ON PRICING STRATEGIES ON SALES IN SARAVANA SELVARATHNAM RETAIL PVT LTD
Abstract
This study examines the impact of pricing strategies on sales performance at Saravana Selvarathnam Retail Pvt. Ltd., a leading retail chain in South India. Focusing on strategies such as discount pricing, psychological pricing, and value-based pricing, the research aims to understand their influence on customer purchasing behavior and sales outcomes. A descriptive research design was employed, with data collected from 122 respondents through questionnaires. Frequency analysis revealed that a majority of customers perceive the store’s pricing as affordable and competitive, with discounts and promotional offers significantly influencing their purchasing decisions. Correlation and ANOVA analyses further identified relationships between pricing strategies and customer loyalty, transparency, and shopping frequency. The findings underscore the effectiveness of current pricing tactics while highlighting opportunities for optimization, such as dynamic pricing and enhanced loyalty programs. The study contributes to the broader understanding of pricing strategies in the retail sector, offering actionable insights for improving sales performance and customer satisfaction. Future research could explore long-term effects and comparative pricing models across different retail formats.
| 21 |
Author(s):
Vidhya B.
Page No : 1-4
|
A study on “Quality of Work Life Among the Employees Working in Raha Oil Mill Pvt Limited.” Paramathi velur.
Abstract
Quality of Work Life (QWL) is a crucial factor influencing employee satisfaction, productivity, and retention. This study examines the quality of work life among employees at Raha Oil Mill, focusing on key aspects such as job security, work environment, compensation, work-life balance, and career growth opportunities. Using a combination of qualitative and quantitative methods, including surveys and interviews, the research analyzes how QWL affects employee engagement and overall organizational performance. The findings suggest that a positive work environment enhances employee commitment, whereas poor QWL leads to dissatisfaction and higher turnover. The study concludes with recommendations to improve QWL for better employee satisfaction and efficiency.
| 22 |
Author(s):
Shweta Gawali.
Page No : 1-4
|
Prevention of Railway Accident & Human Safety Using PLC
Abstract
Ensuring railway safety and efficiency is a critical challenge, and automation plays a key role in mitigating risks. This paper explores the implementation of Programmable Logic Controllers (PLCs) in railway safety systems, focusing on automated railway gate control, track failure detection, and accurate train signaling. The Automatic Railway Gate Control System utilizes a PLC, magnetic limit switches, a DC gear motor, and a motor driver to automate gate operations based on train movement. This system minimizes human error, reduces accidents, and enhances safety at railway crossings. Additionally, Smart Accident Prevention Systems leverage PLCs, vibration or sound sensors, and microcontrollers to detect railway track failures, such as cracks, ensuring early intervention and preventing derailments. Furthermore, accurate train signaling systems using magnetic position sensors improve train detection precision, reducing the risks associated with manual signal errors. These sensors ensure seamless communication between trains and railway authorities, enhancing operational safety. By integrating automation technologies, PLC-based railway safety systems offer reliable, efficient, and cost-effective solutions for accident prevention and human safety, contributing to the upgrade of railway infrastructure.
| 23 |
Author(s):
Jagdale Swapnal Chandrakant.
Page No : 1-4
|
MACHINE LEARNING ALGORITHMS FOR EARLY BREAST CANCER TREATMENT
Abstract
Breast cancer remains one of the most prevalent and life-threatening diseases affecting women worldwide, with early detection playing a critical role in reducing mortality rates. Traditional diagnostic methods such as mammography and biopsy, while effective, can be time-consuming and prone to human error. Machine learning (ML) algorithms have emerged as powerful tools in medical diagnosis, offering improved accuracy and efficiency in detecting breast cancer. This study evaluates various ML models, including Support Vector Machines (SVM), Random Forest (RF), K-Nearest Neighbors (KNN), Artificial Neural Networks (ANN), and Logistic Regression, using the Breast Cancer Wisconsin Diagnostic dataset. The research focuses on feature selection, data preprocessing, model training, and performance evaluation based on accuracy, precision, sensitivity, and specificity. Experimental results indicate that ANN achieved the highest accuracy of 97.1%, followed by RF at 96.7%, highlighting the potential of deep learning techniques in medical diagnostics. This study underscores the importance of leveraging ML-based systems in healthcare for improved diagnostic reliability and patient outcomes. Future advancements may explore hybrid models to further enhance predictive performance and clinical integration.
| 24 |
Author(s):
Jeeva P.
Page No : 1-4
|
A Study on Employee Retention Strategies and Their Influence on Organizational Growth at Shyam Quality Products
Abstract
Employee retention is a critical factor for the sustainable growth of any organization. This study explores various retention strategies employed by Shyam Quality Products and their impact on organizational growth. The research identifies key retention practices, assesses their effectiveness, and provides insights into their influence on employee satisfaction and productivity. Using a mixed-methods approach, this study aims to highlight the correlation between retention strategies and business success. The findings suggest that effective retention strategies contribute significantly to reducing turnover and improving organizational performance.
| 25 |
Author(s):
Dinesh k.
Page No : 1-4
|
“AUTOPLANT SEEDER”: MECHANIZED IoT SOLUTION FOR SEEDLING TRAY-MODEL
Abstract
The Auto plant Seeder is an automated system designed to streamline the seed planting process by integrating conveyor belts, rollers, hoppers, and an infrared sensor for object detection. The system aims to improve efficiency, accuracy, and productivity in nursery-scale seed planting operations while minimizing manual labour.
This research focuses on the design, development, and performance analysis of the Auto plant Seeder. The mechanical framework consists of a metal conveyor system that transports trays, The hopper-based seed dispensing system is optimized to handle various seed sizes with minimal error, reducing wastage and ensuring uniform distribution. The infrared sensor detects empty trays, enabling seamless operation and reducing downtime.
Performance testing demonstrated a 150% increase in tray processing speed compared to manual methods, with an accuracy rate of 98% in seed placement. The system also showed 43% lower energy consumption, making it both cost-effective and sustainable. Finite Element Analysis (FEA) in SolidWorks validated the structural integrity of key components under operational stress.
The Auto plant Seeder offers a scalable solution for commercial and small-scale nurseries, addressing common challenges in seed sowing through automation. Future enhancements may include AI-based seed distribution control and self-cleaning mechanisms to improve durability and efficiency further.
| 26 |
Author(s):
Naveen TN.
Page No : 1-4
|
A STUDY ON CONSUMER BUYING BEHAVIOUR TOWARDS QUALITY PRODUCTS AN EXPLORATORY STUDY OF SHYAM QUALITY PRODUCTS
Abstract
This study examines consumer buying behavior toward quality products, focusing on Shyam Quality Products in Coimbatore, India. The research employs a descriptive design, utilizing primary data collected from 120 respondents via questionnaires. Key findings reveal that product quality, brand reputation, and pricing significantly influence purchase decisions, with 57.5% of respondents prioritizing quality and 53.33% willing to pay higher prices for superior products. Demographic analysis shows that 67.5% of respondents are aged 21–30, and 62.5% are male. Correlation and ANOVA tests confirm relationships between factors like brand perception, online reviews, and warranty preferences. The study highlights the importance of packaging, customer service, and eco-friendly initiatives in shaping consumer preferences. Recommendations include enhancing packaging, implementing loyalty programs, and adopting sustainable practices to boost customer satisfaction and market competitiveness. The findings provide actionable insights for businesses aiming to align strategies with consumer expectations in the quality products segment. Future research could explore long-term brand loyalty and the impact of digital marketing on buying behavior.
| 27 |
Author(s):
Vivek Narendra Bhosale.
Page No : 1-4
|
Echo AI Platform: Revolutionizing Offline Chatbots with LLaMA 3 for Data Retrieval
Abstract
As the demand for more efficient and secure information retrieval systems continues to rise, the Echo AI Platform emerges as a groundbreaking solution by integrating the LLaMA 3 model within an offline environment. This paper thoroughly explores the architecture, implementation process, and performance evaluation of the Echo AI Platform, which is specifically designed to deliver accurate and contextually relevant responses to user queries, all without the need for internet connectivity. By leveraging Python programming and utilizing the advanced capabilities of large language models (LLMs), the Echo AI Platform ensures that user interactions are not only precise but also maintain high standards of data privacy and security. This approach addresses concerns related to data breaches and ensures that all information remains within the user's local environment.
| 28 |
Author(s):
Nakul chauhan .
Page No : 1-4
|
Jurisdiction in cases involving cyber crimes
Abstract
With the rapid rise of the internet and digital tools, cyber crime has grown from a few cases of hacking into a complicated global issue. Since the internet doesn’t have physical boundaries and is hard to control, traditional laws are struggling to keep up—especially when deciding which country has the right to deal with these crimes. This article breaks down how legal systems, especially India’s, are handling cyber crime jurisdiction. It covers how countries work together on such cases, key court rulings, and compares India’s system with those of other nations. Using real data and examples, it gives a complete picture of where we stand now and how we can do better.
| 29 |
Author(s):
Asst prof. Mr. R. SURENDER , PAVITHRAN A.
Page No : 1-4
|
A STUDY ON THE ROLE OF GOAL SETTING TOWARDS PERFORMANCE MANAGEMENT IN GARMENT INDUSTRY
Abstract
This study investigates the role of goal setting in performance management within the garment industry. With a labor-intensive and productivity-driven environment, the industry requires effective tools to enhance employee motivation and organizational performance. The research aims to explore how goal setting influences employee focus, job satisfaction, and overall productivity. Using a quantitative research design and statistical tools such as chi-square tests and regression analysis, the study analyzes data from 100 respondents across various departments. The findings reveal a significant positive relationship between goal-setting and employee motivation, performance, and job satisfaction. The study recommends the adoption of structured goal-setting frameworks like SMART goals, inclusive workforce development, and regular performance monitoring to foster a motivated and high-performing workforce. The conclusions underscore goal-setting as a critical component for sustainable growth and employee development in the garment sector.
| 30 |
Author(s):
DHAARANI E.
Page No : 1-4
|
A STUDY ON ACCOUNTS PAYABLE PROCESS IN CHOLAMANDALAM INVESTMENT AND FINANCE COMPANY LIMITED
Abstract
The accounts payable process plays a crucial role in managing an organization’s cash flow, maintaining supplier relationships, and ensuring regulatory compliance. This study explores the effectiveness and efficiency of the accounts payable system in a leading non-banking financial company (NBFC) in India. The primary objective is to evaluate the current practices, identify process bottlenecks, and recommend improvements to enhance operational performance. The research methodology involves both qualitative and quantitative approaches, including analysis of financial documents, process flow evaluations, and interviews with finance department personnel. Key findings reveal that while CIFCL maintains a structured and technology-driven accounts payable framework, challenges persist in areas such as invoice processing time, vendor communication, and reconciliation delays. The study suggests leveraging automation tools, refining approval hierarchies, and improving vendor engagement strategies to streamline the accounts payable process. This research contributes to a better understanding of financial process optimization within NBFCs and supports strategic decision-making for improved financial management.
| 31 |
Author(s):
Sakshi Mehra and Ashif Jamil.
Page No : 1-4
|
An Overview On Implementation Of Artificial Intelligence In Banking Sector.
Abstract
An Overview On Implementation Of Artificial Intelligence In Banking Sector.
| 32 |
Author(s):
Nivetha D.
Page No : 1-4
|
A STUDY ON CHALLENGES IN TALENT ACQUISITION WITH REFERENCE TO CAREERNET TECHNOLOGIES
Abstract
This study explores the challenges faced in talent acquisition at Careernet Technologies, a prominent recruitment and staffing solutions firm. It investigates issues such as skill gap alignment, candidate sourcing, employer branding, and the effectiveness of recruitment strategies in a competitive talent market. By analyzing internal recruitment processes and external market dynamics, the research aims to identify bottlenecks and recommend strategic improvements. Insights were gathered through interviews, surveys, and performance metrics, offering a comprehensive understanding of the hurdles faced in hiring top talent. The findings aim to enhance recruitment efficiency and support organizational growth.
| 33 |
Author(s):
MOHD UMAR FAROOQ .
Page No : 1-4
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EXPLORING THE APPLICATION AND IMPLICATION OF ARTIFICIAL INTELLIGENCE IN IPR
Abstract
The title of this study makes it clear that it is about artificial intelligence. It talks about how artificial intelligence has changed from ancient times to today's digital world. It also talks about important AI issues like historical development, meaning, description, features, and functions.
Computer scientists, lawyers, philosophers, and people who study ethics and law are all very interested in artificial intelligence. Not just in sci-fi, it is now a part of our everyday lives. AI makes our lives easier and helps the world's biggest issues get solved.
That's how electricity and steam engines changed the world. EA is now a strategic tool for the 21st century. Future will depend on how our AI managers run things.
There are two main groups of ideas on artificial intelligence around the world. One group believes that AI will make society better by making people's lives better, while the other group fears that it will lead to computer rule. The expert will look into artificial intelligence and judge how useful it is for society.
Artificial intelligence (AI) grew when experts realized that some jobs needed a lot of processing power and mental strain. That's when they realized that you can only control people's thoughts so much and that smart systems should act smartly.
In general, artificial intelligence is the branch of computer science that creates machines that think and act like humans. AI is getting better so quickly that it may be able to be used right now. Siri was added to improve the quality and production of Apple's present products. Google and YouTube both used face recognition. Sophia, a humanoid robot, was given citizenship by Saudi Arabia in 2017. Artificial intelligence is now a part of everyday life; words like "neutral network," "deep learning," and "machine learning" are even found in books. Smart computers are used in building, writing news stories, poetry, music records, and architecture. These things can be made by advanced AI better than by people. AI lawyers, AI doctors, court systems, security systems, traffic control systems, and lifelike faces are now all available, along with self-driving cars. These are just a few of the many changes that are happening in the world.
In this way, AI-driven industries are growing, but they also bring some IP system problems that need to be looked at in this study. This chapter looks at a number of AI ideas.
| 34 |
Author(s):
Dr.C.Vindya Vasini, Lokesh B.
Page No : 1-4
|
FINANCIAL STATEMENT ANALYSIS ON HDFC
Abstract
Financial statement analysis is a vital tool for evaluating a company's financial performance, stability, and future prospects. This study focuses on the financial statement analysis of HDFC (Housing Development Finance Corporation), one of India's leading financial institutions, over a selected period. The objective is to assess the company’s profitability, liquidity, solvency, and operational efficiency through a detailed examination of its balance sheet, income statement, and cash flow statement.
Key financial ratios such as the current ratio, debt-equity ratio, return on equity (ROE), net profit margin, and earnings per share (EPS) are employed to evaluate the financial health of HDFC. The analysis reveals that HDFC has maintained a strong capital structure, consistent profitability, and robust asset quality, which indicate its sound financial position and efficient management practices.
| 35 |
Author(s):
S. Md. Ershad, K. John Uday Kumar.
Page No : 1-4
|
ADVERTISING IMPACT ON CUSTOMERS
Abstract
Advertising has become an indispensable tool in modern marketing, significantly influencing consumer behavior, preferences, and purchasing decisions. This study explores the comprehensive impact of advertising on customers by analyzing various dimensions such as emotional appeal, brand recall, customer perception, and buying intent. In today’s competitive and media-saturated environment, consumers are exposed to numerous advertisements across diverse platforms including television, radio, print media, social media, search engines, and mobile applications. This research investigates both traditional advertising methods (such as print and broadcast media) and digital advertising strategies (including social media marketing, influencer endorsements, search engine advertising, and display ads), evaluating their effectiveness in capturing customer attention and motivating action.
The study utilizes a mixed-method approach, incorporating quantitative surveys and qualitative interviews to assess how different advertising formats influence customers' attitudes, trust levels, brand awareness, and loyalty. Special attention is given to factors such as ad frequency, creativity, personalization, message clarity, and the psychological impact of visual and emotional cues. Findings indicate that advertisements that are relevant, emotionally engaging, and tailored to individual preferences tend to be more effective in driving customer engagement and conversions. Moreover, digital platforms offer greater interactivity and data-driven targeting, allowing for more efficient and measurable outcomes.
| 36 |
Author(s):
M Vijaya Lakshmi, Ravi Teja B.
Page No : 1-4
|
PRODUCTS AND SERVICES
Abstract
Products and services are the core offerings of any business that determine its market presence, customer satisfaction, and profitability. While products are tangible goods that can be owned and stored, services are intangible experiences or activities provided to meet consumer needs. This study examines the characteristics, differences, and significance of both products and services in the modern business environment.
The research explores how companies design, develop, and deliver value through their offerings by focusing on aspects such as quality, customization, pricing, branding, and after-sales support. It also highlights the growing importance of service-oriented strategies in product-based businesses and vice versa, showing the trend toward product-service integration. This approach enhances customer satisfaction and creates long-term value for both customers and businesses.
| 37 |
Author(s):
Dr.P.Lokesh Muni Kumar, Pasham Sohith.
Page No : 1-4
|
EQUITY ANALYSIS ON INDIAN BULLS
Abstract
Equity analysis plays a crucial role in evaluating the financial performance and market position of companies, enabling investors to make informed investment decisions. This study focuses on the equity analysis of Indian Bulls, a company involved in financial services and real estate development. The objective is to assess the company’s stock performance, intrinsic value, and growth potential through both fundamental and technical analysis.
The research includes a detailed examination of financial statements, earnings per share (EPS), price-to-earnings (P/E) ratio, return on equity (ROE), and book value to understand the company’s financial health. Technical indicators like moving averages, RSI (Relative Strength Index), and volume trends are also considered to evaluate market sentiment and price movement patterns.
| 38 |
Author(s):
P. Padma Bai, S.M. Raziya Banu.
Page No : 1-4
|
COMPARATIVE ANALYSIS ON MUTUAL FUNDS
Abstract
Mutual funds have become a cornerstone of modern investment portfolios due to their diversification, professional management, and accessibility to investors across different income groups. This research project undertakes a comprehensive comparative analysis of various mutual fund schemes offered by leading Asset Management Companies (AMCs). The study categorizes the funds into equity, debt, hybrid, and index funds and compares them based on critical performance indicators such as Net Asset Value (NAV), expense ratio, historical returns, portfolio diversification, fund size, and risk-adjusted measures including Sharpe Ratio, Alpha, Beta, and Standard Deviation. Data has been collected from reliable financial databases and analyzed over a selected time period to observe trends, consistency, and responsiveness to market fluctuations.
| 39 |
Author(s):
Dr.D.Anjaneyulu, Madhusudhan G.
Page No : 1-4
|
MUTUAL FUNDS
Abstract
Mutual funds have emerged as one of the most popular investment avenues for both individual and institutional investors, offering diversification, professional management, and liquidity. This study focuses on understanding the structure, types, benefits, and risks associated with mutual funds. A mutual fund is a pool of money collected from various investors and managed by professional fund managers, who invest in a diversified portfolio of stocks, bonds, or other securities in line with the fund's objective.
The research highlights various categories of mutual funds such as equity funds, debt funds, hybrid funds, and index funds, each catering to different risk appetites and investment goals. The performance of mutual funds is evaluated using key metrics such as Net Asset Value (NAV), expense ratio, and returns over different time horizons.
| 40 |
Author(s):
M Abdul Basid, Babu S.
Page No : 1-4
|
REVERSE MORTGAGE SCHEME IN INDIA
Abstract
The Reverse Mortgage Scheme (RMS) in India was introduced in 2007 with the objective of providing financial security to senior citizens by allowing them to convert the equity in their residential property into a regular stream of income. Under this scheme, individuals aged 60 years and above can avail periodic payments from a lender while retaining ownership and occupancy of their home. Unlike conventional loans, repayment is not required during the borrower's lifetime, and the loan is typically recovered from the sale of the property after the borrower's death or permanent relocation.
Despite its potential to address post-retirement financial challenges, the scheme has witnessed limited acceptance in India. Factors such as low awareness, emotional attachment to ancestral property, societal perceptions, lack of financial literacy, and procedural complexities have hindered its widespread adoption. This paper critically examines the structure, implementation, benefits, and limitations of the RMS in the Indian context. It also highlights the need for robust policy measures, awareness programs, and collaboration between financial institutions and government bodies to improve the outreach and effectiveness of the scheme. The Reverse Mortgage Scheme, if effectively promoted, holds promise as a viable financial tool for empowering the elderly population in India.
| 41 |
Author(s):
Purva Mahesh Patil.
Page No : 1-5
|
Fake Product Identification Using Blockchain
Abstract
Supply chain management frequently faced
issues such as service redundancy, poor coordination between
several departments, and lack of standardization as a result of
the lack of transparency. Product counterfeiting is something
which is very common now-a-days and it’s almost impossible
to detect a counterfeit product just by looking at it.
Counterfeiters cause significant challenges for legitimate
firms, yet far too many people have no idea of the entire
amount of counterfeit items’ influence on brands. There are
several methods devised in the past to get a way with this
problem of product counterfeiting. The most popular methods
are using RFID tags, Artificial Intelligence, QR code based
systems, etc. But each of them had few disadvantages such as
the QR code can be copied from a genuine product and placed
on a fake product, artificial intelligence uses CNN and
machine learning which needs heavy computational power
and soon. The idea of this project is to improve detection of
fake products by tracking its supply chain history. This is
achieved with Blockchain technology which ensures the
identification and traceability of real products throughout the
supply chain. Blockchain based system, makes everything
decentralized that may be accessed by several parties at the
same time. One of its main advantages is that the recorded
data is difficult to change without the consent of all parties
concerned which makes the data extremely secure and protect
from all vulnerabilities. This paper presents system designed
using blockchain technology for detection of counterfeit
products.
| 42 |
Author(s):
KAVIYA M.
Page No : 1-5
|
“A STUDY ON THE IMPACT OF TRAINING AND DEVELOPMENT ON EMPLOYEE PERFORMANCE AT KNOT COACHING AND CONSULTING’S CORPORATE CLIENTS IN KARUR”
Abstract
Training and development are essential components of human resource management, significantly influencing employee performance and organizational success. This study examines the impact of training and development initiatives on employee performance within KNOT Coaching & Consulting’s corporate clients in Karur. Utilizing a descriptive research design, primary data was collected through surveys, interviews, and observations, while secondary data was sourced from internal records and training materials. A sample of 120 employees from five client companies was selected using stratified random sampling to ensure diverse representation. The findings reveal that well-structured training programs positively influence job efficiency, work quality, and adaptability, contributing to enhanced employee satisfaction and retention. Conversely, inadequate training can lead to skill gaps and reduced performance. This research offers practical recommendations for optimizing training strategies, ultimately fostering a high-performance workplace culture.
Keywords: Training and Development, Employee Performance, Human Resource Management, Organizational Success, Descriptive Research, High-Performance Culture
| 43 |
Author(s):
Dr Bastin Arockia Raj P.
Page No : 1-5
|
Sustainable Business Practices in E-Commerce: A Case Study Approach
Abstract
This research investigates sustainable business practices within the e-commerce sector, analyzing the environmental, social, and economic dimensions of sustainability. Through a synthesis of literature review and case study analysis of companies like Patagonia (Patagonia: Doughnut Design Case Study, 2025), A Good Company (Dobuzinskis, 2023), Pact (PayPal et al., 2023), and SOLE (Winters, 2023), this study identifies key strategies, challenges, and opportunities for fostering sustainability in online retail. The analysis explores trade-offs and synergies between different sustainability dimensions (Oláh et al., 2018), and the importance of integrating sustainability into all aspects of the business (Chaudhary, 2017). The research concludes with recommendations for future research and practical implementation, emphasizing the need for collaboration, transparency, and a commitment to sustainable practices to achieve long-term success in the e-commerce industry.
| 44 |
Author(s):
Amar Vangad.
Page No : 1-5
|
A Study on the Influence of Financial Debt on Individuals in the region of UT of DNH & DD
Abstract
Invention of credit that gives birth to a debt has played the salient role in modern economics. Debt is used by the units in economics to fund their economic activity, that might not be possible only relying on cash. Thus, debt has become an important aspect in present day economics. However, the use of debt should be judicious. Debt is a financial arrangement for a specific period of time with an add-on payback, and if the same isn’t paid back in time it’s no good to the economy as well as the one taking debt. Such a situation called as debt trap may influence debt holder adversely. This paper attempts to study such influence on the individuals that hold or might have hold the debt. Empirical data was collected through as structured questionnaire and analysed to gather the insights on said subject. The data analysed for various constructs such as; Stress Level, Mental Health, Physical Health, Relation with Family & Friends, Job Performance, and Overall Quality of Life, it was found that majority of the respondents were neutral on all the examined constructs except for ‘Mental Health’. It was found that majority of the respondents were moderately affected on their ‘Mental Health’ due to financial debt taken by them. This paper contributes to the existing knowledge of individual behavioural finance with fresh evidence from the region of Union Territory of Dadra and Nagar Haveli & Daman and Diu, India.
| 45 |
Author(s):
Sibikumar s.
Page No : 1-5
|
A Study on Factors Influencing Employees Engagement at Metroflex Matters, Karur
Abstract
This study examines the Quality of Work Life (QWL) among employees at Raha Oil Mill Pvt Limited, focusing on key factors such as job satisfaction, work environment, compensation, employee engagement, and work-life balance. The research aims to assess how these factors influence employee performance, motivation, and retention. Data is collected through structured questionnaires and interviews with employees across different departments. The findings provide insights into the challenges faced by employees and suggest strategies for improving QWL to enhance productivity and job satisfaction.
| 46 |
Author(s):
Prabavathi V.
Page No : 1-5
|
A Study on the Perceptions of Doctors towards the Promotional Materials Provided by Dr. Reddy’s Laboratories
Abstract
Promotional materials play a crucial role in pharmaceutical marketing by influencing doctors' prescribing behavior and product awareness. This study explores the perceptions of doctors toward promotional materials provided by Dr. Reddy’s Laboratories. Through a structured analysis, the research evaluates factors such as content relevance, ethical considerations, effectiveness, and doctors' preferences for traditional versus digital promotional tools. Findings indicate that while doctors appreciate scientifically backed and customized promotional content, ethical transparency and digital engagement significantly enhance their acceptance. The study suggests that periodic feedback mechanisms and patient-centric strategies could further optimize promotional efforts. These insights provide valuable recommendations for pharmaceutical companies aiming to improve doctor engagement through ethical and informative promotional practices
| 47 |
Author(s):
Ritika Singh, Abhinav Chaudhary, Dr. Saniya Zehra .
Page No : 1-5
|
Fintech: Paving the way for Digital Financial Revolution
Abstract
The paper covers the factors that can be used for the development of fintech — online transformation, AI, blockchain, and big data processing — and how it impacts financial services, conventional banking, and global markets. Fintech has played a key role in unlocking access to all those people who have so far been unbanked and therefore improves banking access by decentralizing the provision of financial services.
The article will also study the legal hurdles that come in at a fast clip as the fintech develops. While laws are framed to promote innovation while ensuring protection for the users and economic security, they also pose a challenge for new entrants and old firms alike. Balancing compliance and innovation is important in the pursuit of the ultimate long-run growth of fintech. In addition, when these digital transformations are being incorporated by legacy firms, their revenue structures will change, which brings about changes in the organization.
Looking into the future, the development of financial technology will be led by the emerging trends in decentralized finance, central bank digital currencies, and the integration of fintech with phenomena such as the Internet of Things and advanced analytics. Yet, in producing the final value of fintech, there is a requirement to solve ethical, legal, and digital issues. This paper presents the opportunities, challenges, and impacts of fintech, bearing critical results for legislators, industry leaders, and researchers.
KEYWORDS
Examines cyber Défense, Privacy measures, regulatory alignment, Finech
| 48 |
Author(s):
Dr. J.Francis Mary , K. Radha.
Page No : 1-5
|
CAUSE AND EFFECT OF RISING GOLD PRICES IN INDIA
Abstract
The economic impact of rising gold price in India has become a pivotal concern affecting not only individual’s economic status but also the broader macroeconomic factor. This paper explores the cause behind the rising gold prices and the factor influencing the gold prices in India. The consequences of these rinsing price are multifaceted. On the positive side, higher gold price leads to increasing gold holdings, which in turn results in diversified investment in other sectors. Additionally the flourishing cost of gold imports intensifies the India’s current account deficit, influencing the stability of Indians Rupee and foreign exchange reserves.
| 49 |
Author(s):
DHANUJA M.
Page No : 1-5
|
“A Study on Employee Perceptions towards Performance Appraisal Systems with the reference of EQI PVT ltd”
Abstract
This study examines employee perceptions towards performance appraisal systems at EQI Pvt Ltd. It explores the effectiveness, fairness, and impact of the appraisal process on employee satisfaction and motivation. The research highlights key factors influencing employee perceptions, including transparency, feedback quality, and managerial support. Data was collected through structured questionnaires and analyzed to assess the relationship between appraisal outcomes and employee performance. The findings provide insights to improve the appraisal process and enhance employee engagement. Recommendations are suggested to align appraisal systems with organizational goals and employee expectations for improved effectiveness.
Keywords: Performance Appraisal, Employee Perception, EQI Pvt Ltd,Feedback,
Motivation
| 50 |
Author(s):
Saveetha D.
Page No : 1-5
|
A Study on Employee Engagement Strategies for Workforce Retention in Larson and Toubro, Coimbatore.
Abstract
Employee engagement plays a critical role in workforce retention, particularly in manufacturing industries, where skilled labor is a key asset. This study examines the employee engagement strategies at Larsen & Toubro (L&T) – Precision Manufacturing & Systems Complex, Coimbatore, and their impact on workforce retention. The research employs a descriptive approach, gathering data through surveys and interviews with employees. The findings indicate that recognition programs, career development opportunities, and effective communication significantly enhance engagement levels, leading to higher retention rates. The study also identifies challenges such as work-life balance concerns and limited career progression opportunities. The research concludes with recommendations for improving engagement strategies to foster long-term employee retention.
| 51 |
Author(s):
Vegi Sivani.
Page No : 1-5
|
AI driven virtual health assistant enhancing patient interaction through decentralised communication
Abstract
The AI-driven virtual health assistant enhances patient interaction and supports medical staff by leveraging decentralized communication through the Matrix open protocol, ensuring secure, privacy-respecting interactions. It employs a large language model (LLM) for disease prediction, providing precise medical insights with restricted access to patient data. Using the Support Vector Machine (SVM) algorithm, the assistant processes complex medical data, offering valuable decision support with a remarkable 98% accuracy in diagnosis. Its decentralized architecture ensures scalability for deployment in an open federation. Future research aims to expand its capabilities, enhance diagnostic support, and extend its applicability across various medical domains to optimize patient care.
| 52 |
Author(s):
Dr Anjana Agarwal.
Page No : 1-5
|
Paradigms of Teacher Education
Abstract
In the view of numerous challenges to day, a fundamental concern is about the paradigm of teacher education in the present context. At present teacher education inevitably inform and affect the efforts of research and innovation in subject teaching and subject teacher development, knowledge and skills are going to be outdated very quickly through digital technology and globalization. Now, Indian universities and teacher Education institutions introducing new paradigm in teacher education, i.e; technological advancement, quality, research, innovations, knowledge and skills. This key presentation is highlighting the paradigms shifted in teacher education in the present context........
It is now widely acknowledged that the most effective pathway to improved student learning outcomes is the quality of teaching, especially teacher's ability to motivate and facilitate such learning. Researches shows that teacher quality is significantly and positively correlated with pupil attainment, and that is the most important within-school aspect explaining student performance. To achieve the outcome of enhanced quality at all levels of education different government organizations and agencies has been focusing it's attention to quality assurance in teacher education. They provide adequate guidelines for formulating quality assurance policies as well as adopting systems and procedures within teacher education institution for enhancing the quality of the process involved in teacher development. Teacher education programs are design to prepare effective teachers by providing theoretical awareness of teaching ability. The present curriculum of teacher education has heavy concentration on mere professional skills or methodology of teaching and has very bearing on the development of personality of teachers or his social competencies and conceptual abilities in terms of creative ideas, schemes, plans or researches. A large number of new paradigms are emerging in teacher education in India and other countries.
| 53 |
Author(s):
Mr. Chauhan Shivamkumar Singh, Mr. Joshi Jay, Mr. Piyush Kashiyani.
Page No : 1-5
|
Intelligent System for detection of malicious activities over the internet
Abstract
Addressing the growing sophistication of cyber threats, this research introduces a novel unified intelligent system designed to enhance detection capabilities. Our methodology focuses on a comprehensive approach that integrates context-aware behavioral analysis across different online activities, incorporates Explainable AI (XAI) to provide insights into threat classifications, enables adaptability to new attack patterns, and utilizes a hybrid strategy by combining diverse data sources. This unified framework aims to overcome the limitations of current isolated detection methods. The evaluation of our system, comparing its performance against established baselines, demonstrates significant improvements in key metrics for identifying various malicious activities. This research highlights the potential of a unified, transparent, and adaptive approach to create more effective and reliable cyber defense systems.
| 54 |
Author(s):
Rajshri Mallappa Rathod .
Page No : 1-5
|
Movable Voice-Controlled Robot Using Arduino Uno
Abstract
This project presents a movable robot that can be
controlled by commands. Using an Arduino Uno, the robot responds
to commands via an Elec-house allowing the user to control its
movement in four directions: forward, backward, left, and right. The
robot’s movement is powered by DC motors controlled by an HBridge motor driver, ensuring smooth operation. Additionally, the
robot includes an ultrasonic sensor to detect obstacles and prevent
collisions, making navigation safer. The remote-control feature
allows the robot to be operated from a distance, enhancing its
usability for applications such as surveillance and exploration. This
project demonstrates how integrating multiple technologies can
create a powerful and user-friendly robotic system.
| 55 |
Author(s):
Dr. Tabassum H Khan, Pranay Nakhale, Rohan Lanjewar, Sakshi Nandanwar, Isha Gujar ,.
Page No : 1-5
|
Digital object detection from high resolution satellite data using generic advance deep learning tools and methods
Abstract
The Automaton Farm Boundary Detection Platform is designed to provide an accurate, scalable, and cost-effective solution for identifying and analyzing agricultural farm boundaries in high-resolution satellite imagery. The platform leverages deep learning models, particularly YOLOv8, CNN, and DenseNet, to detect various objects essential for crop monitoring and protection.
The process begins with the input of high-resolution farm images into the YOLO v8 modal. The images are first resized to match the model’s input size and then undergo pixel normalization to standardize the data for processing. The images are passed through deep learning algorithms, which extract relevant features from the data, helping to identify key objects within the farm, such as crop types, boundaries, and other elements crucial for analysis.
Keywords—Object Detection, Feature Extraction, Image Classification, High-Resolution Satellite Imagery, YOLO, Edge Detection.
| 56 |
Author(s):
Mr. NAREN KARTHIK. S , Dr. V.M THARAKA RANI.
Page No : 1-5
|
AN ANALYSIS OF CONSUMERS TRUSTING BELIEFS TOWARDS THE USE OF INDIAMART PLATFORM
Abstract
The factors influencing consumers' trusting beliefs towards the use of IndiaMART platform, a leading B2B e-commerce platform in India. The research aims to investigate the relationships between trusting beliefs, perceived usefulness, perceived ease of use, and satisfaction among IndiaMART users. A survey of 500 IndiaMART users was conducted to gather data, and the results show that perceived usefulness and perceived ease of use are significant predictors of trusting beliefs. Additionally, satisfaction is also found to be an important factor influencing trusting beliefs. The study provides valuable insights into the factors that influence consumers' trusting beliefs towards IndiaMART platform and offers recommendations for improving trust and satisfaction among users. The findings of this study can be useful for businesses and marketers seeking to enhance their online presence and build trust with their customers.
| 57 |
Author(s):
Mr . JISHNU. M , Dr. V.M THARAKA RANI , Dr. K. DHIVYA.
Page No : 1-5
|
HOUSEHOLDS LEVEL OF PERCEPTION TOWARDS THE RISE OF INFLATION RATES IN COIMBATORE CITY
Abstract
This study explores the level of perception among households in Coimbatore city regarding the
recent rise in inflation rates. It aims to understand how inflation is perceived, experienced, and
managed across different socio-economic groups. Data was collected through a structured
questionnaire administered to a diverse sample of households. The study focuses on key areas
such as inflation awareness, perceived impact on household expenses, and changes in spending
behaviour. Findings reveal that while most households are aware of rising prices, their
understanding of the causes of inflation varies widely. Middle- and lower-income groups
reported higher levels of financial strain, often leading to reduced discretionary spending and
a focus on essential needs. Education and occupation were found to significantly influence
perception and coping strategies. Many respondents expressed dissatisfaction with current
governmental measures to curb inflation and emphasized the need for better financial education
and policy clarity. Overall, the study highlights the importance of public awareness and
engagement in economic issues. It recommends targeted financial literacy programs and
support systems to help households adapt to inflationary pressures, particularly among
vulnerable populations.
| 58 |
Author(s):
Ashvini Shrikrushna Hirve.
Page No : 1-5
|
A review paper on cnc based writing and drawing machine
Abstract
This review presents the development of a CNC-based Writing and Drawing Machine that automates handwriting and drawing using a V3 control board and microcontroller. This prototype supports both manual and voice-assisted modes of operation. The user can input text or images, convert them to G-code, and the machine reproduces them with precision on paper. A detailed flowchart of the entire process, from power-up to drawing execution, is illustrated. The system, though in prototype phase, demonstrates wide applicability, including educational tools, assistive technologies, and light manufacturing. Moreover, by replacing the pen with a cutter or laser and the writing surface with wood or metal, the machine can be transformed into a laser engraver or CNC cutter.
| 59 |
Author(s):
K Chriselda Kiruppa.
Page No : 1-5
|
A Study on workforce development in optimization of warehouse
Abstract
This research looks into how workforce training affects warehouse efficiency, safety, and operational costs. It reviews training methods like hands-on, classroom, and technology-based learning, while also tackling challenges such as low participation and lack of support. It explores gender differences and shifts in employee confidence after safety training. The study also analyzes the impact of tech tools like automation and AI on performance. Overall, it shows training helps cut costs and suggests improvements like more practical training and greater management engagement.
| 60 |
Author(s):
THANGATANMIL P .
Page No : 1-5
|
A STUDY ON MARKETING TECHNIQUES TO INCREASE VIEWERSHIP IN NEWS MEDIA WITH REFERENCE TO PUTHIYA THALIMURAI
Abstract
In an era of digital transformation, news media organizations face the challenge of attracting and retaining viewership in a competitive and fragmented information landscape. This study explores various marketing techniques employed by news media to increase audience engagement and expand their reach. Through an in-depth analysis of digital marketing strategies, social media engagement, content personalization, and audience analytics, this research examines how news organizations optimize their visibility and appeal to diverse demographics. Additionally, the study investigates the role of search engine optimization (SEO), influencer collaborations, and interactive storytelling in enhancing viewer retention. The findings provide valuable insights into effective marketing strategies that can help news media outlets maintain relevance, foster audience loyalty, and sustain long-term growth. This research contributes to the broader understanding of media marketing and offers practical recommendations for news organizations seeking to improve their outreach and impact.
| 61 |
Author(s):
KISHOREKUMAR S.
Page No : 1-5
|
A STUDY ON HEALTH AND SAFETY MEASURES IN GARMENT FACTORIES
Abstract
The garment industry plays a pivotal role in global economies, offering employment to millions, yet it is often associated with hazardous working conditions that threaten worker health and safety. This study aims to assess the current health and safety measures in garment factories, with a focus on understanding their impact on worker well-being, productivity, and overall organizational performance. The research employs a quantitative design, utilizing a structured questionnaire comprising over 20 questions to gather primary data from a stratified random sample of 100 employees across various departments of a garment factory with a total workforce of 200. Secondary data has also been reviewed from journals, magazines, and reputable websites to support the findings.The objectives of the study include evaluating the effectiveness of existing safety measures, exploring their correlation with worker satisfaction and performance, and identifying best practices for creating safer work environments. Key focus areas include training programs, risk assessments, emergency preparedness, and employee perceptions of safety. While the study provides valuable insights, it is limited by a small sample size, potential cultural and linguistic barriers, and time and resource constraints. Despite these limitations, the findings aim to contribute to academic literature, inform policy-making, and raise awareness about the importance of occupational health and safety in the garment sector. The ultimate goal is to promote improved working conditions and advocate for the implementation of effective health and safety measures in garment factories.
| 62 |
Author(s):
Vaibhav Kathuria.
Page No : 1-5
|
Integrating Bio-diversity Conservation And Climate Projects: Analysis, Policies and Mitigation
Abstract
The paper derives in a step-wise approach and manner the filtering, refining and defining of relevant and integrated aspects which are important for factoring bio-diversity in climate projects planning and implementation. The importance of bio-diversity in nature and its processes are discussed and how the very essence of a climate project such as a renewable energy project may be disrupted in positive impact effects if bio-diversity gets harmed during one or different phases of the project implementation. Mitigation, policies and recommendations on a global scale with relevance potential for country-specific implementation are also discussed and thus, an integrated approach and not a discrete one of bio-diversity and climate projects implementation is derived, researched and analysed with a systematic highlight to relevant research and aspects of considerations.
| 63 |
Author(s):
Gautam Kumar, Ranjan Kumar, Dr. Priti Verma.
Page No : 1-5
|
IMPACT OF SOCIAL MEDIA ON YOUTH
Abstract
We would like to thank Dr.PRITI VERMA, who oversaw our Research Based Learning (RBL)
project report as a supervisor, for all of his assistance and encouragement throughout the
program. Their knowledge, experience, patience, and eagerness to impart it all greatly
enhanced our learning process. We genuinely appreciate his unwavering support, which
motivated us to pursue the projects assigned to us and learn about new facets of the field.
Through this project, we’ve had a great opportunity to apply concepts learned in the classroom
to real-world situations, and we are thankful that we've been able to work with such an exciting
and dedicated professor of our esteemed college.
We are also grateful to our academic institution, Sharda University, for sponsoring and offering
this project-based learning course. It is impressive how committed they are to preparing
students for the practical applications of their academic subjects. We also want to express our
gratitude to our friends and family for their unwavering patience, inspiration, and support
during my project. They have never wavered in their support and encouragement, and we
appreciate that because it has motivated us. This course experience has been extremely
beneficial to our professional and personal development, and we can't wait to use the
knowledge and skills we've gained as we work toward our academic and career objectives.
| 64 |
Author(s):
Amit Jana.
Page No : 1-5
|
Image and Video Upscaling Using Real-ESRGAN
Abstract
With the gradual evolution of social networks and the popularity of smartphones, photos in social networks are rapidly developing. A large number of applications have emerged to enhance image processing and social sharing. More and more people like to use pictures to share and gain visual information. The image quality directly affects the user's experience. Therefore, to recommend better quality images in social networks for existing images, it is necessary to improve image resolution as much as possible through software processing methods to meet this widespread demand. The goal of image super-resolution (SR) algorithms is to generate high-resolution images from low-resolution ones. This paper presents a comprehensive study on image and video upscaling using Real-ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks).
| 65 |
Author(s):
Shishir Shivananda Koteshwar, Abhishek Jaiswal, Rohit Dhinwa, Shilpa Sandhu.
Page No : 1-6
|
A Study On How Artificial intelligence Impacts Social Media
Abstract
The advent of artificial intelligence (AI) has ushered in a revolutionary transformation in most industries, and social media is no different. Over the past few years, AI technologies have penetrated deeply into social media platforms, revolutionizing how people interact, consume content, and engage with others. From algorithms that tailor feeds to advanced image recognition and natural language processing capabilities, AI has dramatically transformed the social media scene.
| 66 |
Author(s):
Sarath Babu Rakki.
Page No : 1-6
|
AI in Financial Fraud Detection: Machine Learning Techniques
Abstract
Financial fraud in the digital era requires advanced detection methods, and artificial intelligence, especially machine learning, has become essential for this purpose. Financial institutions across all sectors must develop their data evaluation competencies and analytical abilities because this lets them maximize their AI technology applications to recognize financial crimes before they occur and automate their fraud detection processes. Machine learning models, including logistic regression and decision trees, serve the industry routinely while data mining techniques validate their success in fighting credit card fraud. Advanced machine learning solutions are required to study and deploy new detection techniques that enable the detection of new sophisticated fraud techniques. Modern electronic commerce combined with international communication networks has provoked increasing fraudulent incidents, thus necessitating better fraud detection systems. New techniques provide means to improve both the precision and processing speed and comprehensive operational performance of systems that detect fraud.
| 67 |
Author(s):
Dr. Y V Ram Kumar.
Page No : 1-6
|
Deep Sort: AI-Driven Garbage Segmentation & Categorizations
Abstract
This study introduces an advanced deep learning system for efficient e-waste management, leveraging Convolutional Neural Networks (CNNs) to tackle the escalating challenges posed by increasing urban waste. With rapid urbanization contributing to higher volumes of e-waste, traditional waste management systems struggle to cope, leading to environmental degradation and resource inefficiencies. The proposed system utilizes CNNs for accurate image analysis and classification, achieving an exceptional accuracy of 96%. Developed using Python alongside frameworks like Keras and TensorFlow, the model efficiently classifies e-waste and supports decision-making through an intuitive Graphical User Interface (GUI). Rigorous testing confirms the system's high performance, demonstrating its capability to transform waste management practices. This research offers a scalable and intelligent approach, fostering sustainability and contributing to cleaner, greener urban environments.
| 68 |
Author(s):
Sridharan J, Dr. Kiran Kumar M, Mr. Ajitesh Priyadarshi, Mr. Joshua Melvin Raj J.
Page No : 1-6
|
Taxation of Cryptocurrency in India: Evolving Landscape and Regulatory Framework
Abstract
Cryptocurrency is a popular investment vehicle, but cryptocurrency taxation is contentious and uncertain among Indian investors. The government's move to tax cryptocurrencies through a flat tax on cryptocurrency profits has questioned its impact on investment patterns and compliance. The current study investigates the awareness level, perceived difficulties, and the effect of taxation on investment choice among MBA students of various specializations. According to statistical analysis, the research has established considerable differences in the level of awareness, the impact of investment experience on perceptions regarding taxes, and the correlation between tax awareness and investment. Research shows that awareness is largely determined by the subject of study, and students majoring in finance are more tax-aware of taxation policies. But tax problems challenge perceptions similarly for every class of investors, which is in turn an underlying problem of rule clarity and compliance. While tax impacts investment decision-making, it is but one among many with market fluctuations and risk tolerance being examples of significant influences. These conclusions necessitate improved investor education, clear tax regulations, and synchronized law that facilitates cooperation without reducing participation in markets.
| 69 |
Author(s):
Anandharaj D.
Page No : 1-6
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A Study on Identifying Opportunities for Expanding Market Reach in Tamil Nadu and Kerala
Abstract
This study explores potential opportunities for market expansion in Tamil Nadu and Kerala. It
evaluates key market drivers, consumer behavior, and competitive landscapes. The research
employs qualitative and quantitative methodologies to analyze existing market trends and gaps.
The findings provide insights into strategic approaches for businesses looking to enhance their
presence in these regions. The study aims to assist companies in formulating effective
marketing and operational strategies to tap into new customer segments. Recommendations are
provided to optimize market penetration and customer engagement.
| 70 |
Author(s):
Pragya Chandel.
Page No : 1-6
|
Analyzing the Strategic and Economic Impact of Russia’s Oil Trade with India
Abstract
The Russian oil business from India has been a key player in the Indian market from decades. The strong presence of the Russian oil industry has influence the economic ties between India and Russia. The economic growth of India and increasing demand for oil, India become a crucial market for Russian oil export. India being one of the largest importer of oil in the world, has been a valuable market for Russian Oil Companies. The abstract on the Russian oil business from India focuses on the economic benefits, political ties, overview of the Russian oil business in India, and current trends. 0 it also focuses on the challenges faced by both countries in this oil business like fluctuating oil prices and competition from other countries. Over all it provider overview of the Russian oil business from India, relationship between these two countries industry and impact of this business on the both countries. This article also explores the strategic and economic aspects of Russia's oil trade with India. The study examines the patterns of oil imports, pricing, and terms of payment between the two nations using data from two-way trade from 2015 to 2024. The study also investigates how this partnership affects India's energy security and Russia's shift to non-Western markets in the face of continued international sanctions. The results indicate that the India-Russia oil alliance is reshaping regional energy dependencies and may also influence future trade deals in the Global South.
| 71 |
Author(s):
Kalpana P.
Page No : 1-6
|
A STUDY ON THE ANALYSIS OF WORK-LIFE BALANCE INITIATIVES AT DATASACK SOLUTIONS , KARUR
Abstract
study analyzes work-life balance initiatives at Datasack Solutions, Karur. The research explores various factors influencing work-life balance, including workload distribution, working hours, job stress, and the organization's support systems. A descriptive research design was employed, with data gathered from 150 employees through surveys and interviews. The findings indicate that long working hours and high job stress are significant barriers to achieving work-life balance, while flexible work schedules, remote work options, and supportive management policies significantly contribute to improving employee satisfaction. The study also reveals a positive relationship between work-life balance initiatives and increased job satisfaction, employee engagement, and overall productivity. Recommendations for Datasack Solutions include the adoption of more flexible working hours, improving leave policies, and introducing wellness programs to enhance employee well-being, retention, and performance. The research highlights the importance of regularly evaluating and updating work-life balance initiatives to ensure they align with employee needs and foster a positive workplace culture.
| 72 |
Author(s):
R.Uma Aruna Devi.
Page No : 1-6
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Developing Chatbots with Emotional Intelligence Using Generative AI
Abstract
The ability to recognize and respond to user emotions is critical for enhancing human-computer interactions, particularly in applications such as customer support, therapy, and education. Traditional Chabot’s often lack emotional intelligence, leading to impersonal and ineffective conversations. This paper proposes a novel approach to developing emotionally intelligent Chabot’s using advanced generative AI models. By leveraging natural language processing (NLP) and deep learning techniques, the Chabot system can detect emotional cues from text, such as tone, sentiment, and context, enabling it to generate empathetic and contextually appropriate responses. The model is trained on diverse conversational datasets, incorporating emotional tagging and language patterns that reflect different moods and scenarios. A transformer-based architecture, like GPT (Generative Pre-trained Transformer), allows the Chabot to produce coherent, emotionally relevant dialogues while adapting its tone based on real-time analysis of user input. Experimental results indicate that the emotionally intelligent Chabot improves user satisfaction, engagement, and rapport-building compared to conventional bots. This study highlights the potential of generative AI to create Chabot’s that can effectively understand and respond to human emotions, providing meaningful, human-like interactions.
| 73 |
Author(s):
A.S.N.V Bhogesh.
Page No : 1-6
|
A Multi-Modal Fusion Approach for Effective Spam Filtering
Abstract
Spam detection plays a vital role in preventing the spread of unwanted and potentially harmful messages. This study explores the use of the Multinomial Naive Bayes (MultinomialNB) algorithm for effective text-based spam filtering. Leveraging its simplicity and efficiency, the MultinomialNB model achieved an exceptional 99% accuracy on a well-labeled dataset, showcasing its ability to distinguish between spam and legitimate messages with high precision. Its lightweight computational requirements make it well-suited for real-time spam filtering applications. Future work could explore expanding this approach to multi-modal spam filtering and integrating it with advanced machine learning techniques for improved scalability and adaptability.
| 74 |
Author(s):
Rama Krishna Raju Chekuri.
Page No : 1-6
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Pioneering Lung Health Diagnostics: Leveraging Transfer Learning with Biopsy Imaging for Accurate Lung Carcinoma Detection
Abstract
Abstract
Lung cancer, one of the most fatal diseases worldwide, necessitates early and accurate diagnosis to improve survival rates. This study explores the application of Convolutional Neural Networks (CNNs) for automating the detection of lung cancer, specifically leveraging histopathological biopsy images. To address the limitations of manual diagnosis, including its time-consuming and error-prone nature, a pre-trained EfficientNet-based model was employed for precise image classification. The proposed approach classifies lung cancer into benign and malignant categories, demonstrating remarkable performance with robust accuracy and interpretability. The model was fine-tuned to enhance subtype differentiation and adapt to real-time intraoperative analysis, showcasing its scalability to other cancer types as well. Experimental results reveal that the EfficientNet architecture not only surpasses conventional CNN models in terms of accuracy and efficiency but also minimizes computational requirements, making it a viable tool for large-scale clinical implementation. This project underscores the transformative potential of machine learning in radiology and oncology, paving the way for improved diagnostic precision, personalized treatments, and better patient outcomes.
| 75 |
Author(s):
Vedant.
Page No : 1-6
|
Autonomous Finance
Abstract
Autonomous Finance protocols use blockchain- based tools to mimic banking, investment and trading solutions and provide a viable framework that creates incentives and conditions for the development of an alternative financial services market. In this respect, they can be seen as alternative financial vehicles that mitigate portfolio risk, which is particularly important at a time of increasing uncertainty in financial markets. In particular, some Autonomous Finance protocols offer an automated, low-risk way to generate returns through a “delta-neutral” trading strategy that reduces volatility. The main financial operations of Autonomous Finance protocols are implemented using appropriate algorithms, but unlike traditional finance, where issues of value and valuation are commonplace, Autonomous Finance lacks a similar value- based analysis. The aim of this study is to evaluate relevant Autonomous Finance performance metrics related to the valuations of these protocols through a thorough analysis based on various scientific methods and to show what influences the valuations of these protocols. More specifically, the study identifies how Autonomous Finance protocol valuations depend on the total value locked and other performance variables, such as protocol revenue, total revenue, gross merchandise volume and inflation factor, and assesses these relationships. The study analyzes the valuations of 30 selected protocols representing three different classes of Autonomous Finance (i.e., decentralized exchanges, lending protocols and asset management) in relation to their respective performance measures. The results show that the valuations of Autonomous Finance protocols depend to some extent on the performance measures of these protocols under study, although the magnitude of the relationships and their directions differ for the different variables.
| 76 |
Author(s):
Sowndarya S.
Page No : 1-6
|
Impact of Emerging Technologies on E-Commerce Platform Usage
Abstract
New technologies are transforming the face of e-commerce, enhancing user experience, efficiency and security. This research explores the impact of AI, blockchain, and IoT on the use of e-commerce. The study identifies technological innovations that boost transaction security, personalization, and supply chain optimization. Through the analysis of customer behavior and business performance, this paper seeks to offer insights into the adoption of new technologies. The results will assist in recognising their influence on operational effectiveness and customer interaction and aid companies to plan effectively for future expansion of digital business.
| 77 |
Author(s):
Sanjuthaa V.
Page No : 1-6
|
A STUDY ON ANALYZING THE RELATIONSHIP BETWEEN EMPLOYEE ENGAGEMENT AND COST CONTROL MEASURES IN SAMUTHRAA TEX
Abstract
Employee engagement plays a crucial role in the financial sustainability of
organizations, particularly in manufacturing firms like Samuthraa Tex., Karur. This study
examines the relationship between employee engagement and cost control measures, analyzing
how workforce motivation, job satisfaction, and commitment impact cost reduction strategies.
Through surveys and financial data analysis, the study identifies key engagement drivers that
enhance efficiency and minimize operational expenses. The findings highlight that a highly
engaged workforce contributes to better resource utilization, waste reduction, and overall cost
optimization. Furthermore, effective leadership, employee participation, and incentive
programs significantly influence engagement levels. This research provides valuable insights
for management to implement engagement-driven cost control measures, ensuring long-term
profitability and competitive advantage.
| 78 |
Author(s):
Jesilin lilly H K.
Page No : 1-6
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A study on employee engagement initiatives and its impact on employee motivation
Abstract
Employee engagement plays a critical role in workforce retention, particularly in manufacturing industries, where skilled labor is a key asset. This study examines the employee engagement strategies at Larsen & Toubro (L&T) – Construction , Chennai, and their impact on workforce retention. The research employs a descriptive approach, gathering data through surveys and interviews with employees. The findings indicate that recognition programs, career development opportunities, and effective communication significantly enhance engagement levels, leading to higher retention rates. The study also identifies challenges such as work-life balance concerns and limited career progression opportunities. The research concludes with recommendations for improving engagement strategies to foster long-term employee retention.
| 79 |
Author(s):
U.Jenny Grace.
Page No : 1-6
|
An Effective Machine learning -Based Job Recommendation system for Career Advancements
Abstract
This project presents a machine learning-based Job Recommendation System that employs Natural Language Processing (NLP) techniques to recommend suitable job opportunities to seekers while analyzing job market trends. Using TF-IDF vectorization and cosine similarity, the system compares job descriptions and user profiles to suggest personalized job matches. Additionally, exploratory data analysis uncovers geographic trends in job postings, offering insights into popular locations for job seekers and creators. By integrating content-based filtering, actionable insights, and advanced statistical measures, the system ensures accurate and personalized recommendations, demonstrating the transformative potential of machine learning in enhancing job discovery.
| 80 |
Author(s):
JEGANATH K.
Page No : 1-6
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“A STUDY ON EMPLOYEE PERPEPTION TOWARDS HR PRACTICES IN INFORMATION TECHNOLOGY SHANTHI IT SOLUTION “
Abstract
The main aim of this research is to know the Employee’s Perception of HR Practices followed in the organization. The study is descriptive in nature. The objective of the study is to know the employees perception towards HR practices such as perception of internal communication level of training and development performance management, to find out whether the employees are satisfied with the HR Practices followed in the organization. The sample size is 150. The sample method used for this study is the chi square and ANOVA. The data has been collected through a well-structured questionnaire and has been analyzed with the help of SPSS package.
| 81 |
Author(s):
Sanjana Goyal.
Page No : 1-6
|
Narrative review: Food packaging using nanotechnology in fruits and vegetables
Abstract
Food, horticulture, agriculture, and food science are among the industries that are using nanotechnology more and more to preserve fruits and vegetables. Cost and inadequate shelf-life improvement are two disadvantages of conventional approaches. By extending these products' shelf lives, nanotechnology can reduce manufacturing and post-harvest losses. Because of their special properties, nanoparticles are important in food packaging and storage as they improve food quality and lower the rates at which oxygen, water vapour, and relative humidity are transmitted.
| 82 |
Author(s):
Dr. Adish Kumar Verma.
Page No : 1-6
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Exploring the Intersection of Bhakti and Folk Theatre: Srimanta Sankardeva’s Contribution to Ankiya Nata
Abstract
The Bhakti movement was the primary source of folk culture in India. This egalitarian movement brought equality to society and made an important shift in the fields of dance, music, and drama. This movement followed the principles of monotheism and neglected the norms of idolatry. It started with the idea of egalitarianism and spreading the best path to reach God. This study focuses on the evolution of the Bhakti movement and how it influenced Assam’s social reformer, Srimanta Sankardeva, the originator of the Ankiya Nata in Assam; his philosophy and ideas were inspired by the Vaishnavite movement, which was also the mutation part of the Bhakti movement. He devoted his life to the welfare of the people of Assam. This study explores the essential aspects of the Bhakti movements and its philosophy, how they exalted the Ankiya Nata, and also how it became Assam’s most celebrated folk art. The methodology uses textual analysis of the secondary data.
| 83 |
Author(s):
Parthiban J, Surendhar.
Page No : 1-6
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IMPACT OF SOCIAL MEDIA INFLUENCES ON BRAND AWARENESS FOR GOTAK
Abstract
This study examines the impact of social media influencers on GOTAK's brand awareness. It analyzes how different occupational groups perceive influencer marketing compared to traditional advertising and whether social media usage influences consumer awareness. The research also explores how factors like trust and authenticity affect purchasing decisions. Data collected from respondents provide insights into how influencer marketing strengthens brand recognition. Findings reveal that while influencers play a key role, content relevance and audience interaction also influence consumer perception. The study highlights the importance of selecting the right influencers and platforms to maximize marketing effectiveness. These insights help businesses refine their digital marketing strategies for improved engagement and visibility.
| 84 |
Author(s):
Himani, Geetarth, Himanshi, Abdullah, Dhananjay.
Page No : 1-7
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INTEGRATING AI FOR PERSONALISED EDUCATION
Abstract
Artificial Intelligence (AI) is revolutionizing education by enhancing learning methodologies, personalizing student experiences, and improving administrative efficiency. AI-powered tools, such as intelligent tutoring systems, adaptive learning platforms, and automated grading systems, are reshaping traditional educational models. These innovations provide real-time feedback, cater to individual learning styles, and reduce the workload of educators. Additionally, AI facilitates immersive learning experiences through technologies like virtual reality (VR) and augmented reality (AR).
| 85 |
Author(s):
Shrawan Saha, Aryan Sah, S Vaibhav Dharani Reddy, N Laksh.
Page No : 1-7
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The role of data analytics in marketing strategies
Abstract
The function of data analytics in marketing strategy is critical for influencing data-driven decision-making and maximizing campaign performance. Businesses may adjust their marketing efforts by monitoring customer behaviours, tastes, and market trends to target the correct audience with personalised content. Data analytics delivers insights into consumer segmentation, lifetime value, and purchase behaviours, allowing marketers to deploy resources more efficiently, foresee trends, and track return on investment (ROI) in real time. Furthermore, predictive analytics aids in predicting client wants and modifying methods proactively. Finally, data analytics shifts marketing from intuitive to evidence-based, increasing customer engagement, brand loyalty, and business success.
| 86 |
Author(s):
Mr. Bharath B Gowda, Madhumitha Aravind, Lata Dagar, Deepika Khatri, Varsha M, Yasha Suresh..
Page No : 1-7
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An Investigation into a Career Counselling Centre: Employing Young Adults for Environmental Safety and Awareness, with Reference to Societal Impact and Career Guidance Effectiveness.
Abstract
Career counselling centre or services helps in guidance through the complexities of decision-making regarding career. Through a review of existing literature, surveys, and interviews with career counsellors and clients, this study explores various aspects of career counselling canters, including their structure, resources, methodologies, and outcomes. This 20-research paper provides an examination of the effectiveness and challenges of career counselling centres.
Evolving landscape of the job market, highlighting the increasing complexity of career choices and the challenges individuals face in navigating these options. It emphasizes the crucial role that career counselling centre's play in providing personalized guidance.
The methodology section outlines a mixed-methods approach, combining qualitative
Interviews with career counsellors and quantitative surveys to gather diverse perspectives from both professionals and the individual's seeking guidance. It explores potential strategies for addressing these challenges and enhancing the effectiveness of career counselling services, such as expanding outreach efforts, leveraging technology, and promoting diversity and inclusivity. Overall, the research paper highlights the importance of career counselling centres in supporting individuals at various stages of their career development journey and underscores 26 the need for continued research and investment in this critical area of professional practice.
| 87 |
Author(s):
Dr Bhaisakhi, Druvi, Samridhi, Atharv, Rishab, Sujal Jain.
Page No : 1-7
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Ethical implications of artificial intelligence in healthcare
Abstract
In the business administration framework, due to the ongoing transformation of the healthcare sector by artificial intelligence (AI), the issue of its ethics has been the force of concern. This research paper reviews the issues and opportunities that arise from integrating Al technologies in healthcare delivery in terms of ethics. The study addresses these key concerns through a systematic literature review and qualitative analysis. It further explains the ethical issues that these challenges present for healthcare management and policy making and how business strategies can be used to ensure responsible innovation. Our findings indicate that while Al has a promise to increase efficiency and outcomes in the healthcare domain, proactive ethical governance with transparent business practice is an indispensable matter to protect the interests of all stakeholders. This paper contributes to the on going discussion on ethical Al deployment by putting forth recommendations healthcare leaders and decision makers to have in place to construct an ethical, sustainable and equitable environment of Al driven healthcare.
| 88 |
Author(s):
Priyanka S.
Page No : 1-7
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A STUDY ON EVALUATING THE EFFECTIVENESS OF INTERVIEW PROCESSES AT OMEGA HEALTHCARE
Abstract
This study aims to evaluate the effectiveness of the recruitment and interview process at Omega Healthcare from the perspective of job applicants. The research focuses on understanding how candidates perceive various aspects of the process, such as communication, interview structure, transparency, and professionalism. A structured questionnaire containing 20 questions was used to collect data from 95 respondents. The results of the percentage analysis show that most respondents had a positive experience, especially in areas like clarity of communication, relevance of interview questions, and timely updates. Correlation analysis revealed significant relationships between communication and overall interview experience, as well as between job expectation clarity and candidate satisfaction. The Cronbach’s Alpha value of 0.88 indicates a high level of reliability in the questionnaire. However, Chi-square tests showed no significant relationship between some demographic factors and recruitment experience. Based on the findings, suggestions have been made to improve areas such as post-interview communication and better alignment of job expectations. The study concludes that Omega Healthcare’s recruitment process is generally well-received, but there is scope for further enhancement through feedback-driven improvements.
| 89 |
Author(s):
SHUBHAPRADHA A B.
Page No : 1-7
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“A STUDY ON EXPORT RISK MITIGATION PRACTICES AT GRACE FERRO EXPORT PRIVATE LIMITED”
Abstract
This study investigates the export risk mitigation practices employed by Grace Ferron Export Private Limited. It aims to identify and analyse the strategies used by the company to manage various risks associated with international trade, including financial, political, and operational risks. Through a combination of qualitative and quantitative data collection methods, the research explores the effectiveness of these practices and provides insights into enhancing the company's export performance. The findings contribute to a better understanding of risk management in the context of export-oriented businesses.
Keywords: Export risk, Mitigation, Practices, International trade, Management
| 90 |
Author(s):
Asmi Mahajan.
Page No : 1-7
|
Temporal Misalignment in Affective AI: A Time-Aware Approach to Emotion Recognition
Abstract
The study analyzes the critical problem of temporal misalignment in AI-based emotion recognition systems as the current models show insufficient capability when detecting dynamic emotional transitions. The misclassification rates remain high when Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) analyze static or short-range patterns with little success during the shifting of emotions. This paper introduces Time-Aware Emotion Recognition Model (T-AERM) as a model which uses Vision Transformers (ViT) for spatial feature retrieval simultaneously with Temporal Convolutional Networks (TCN) to handle long-range sequential dependencies in emotion recognition applications. The proposed attention-based temporal alignment technique enables the model to understand the emotional progression between sequential frames. The T-AERM model surpasses previous models in performance by reaching 31% higher accuracy rates while observing 35% fewer false positives when evaluated on AFEW AffectNet and RAVDESS datasets. Research findings show that unification of spatial and temporal attention methods enables the development of affective computing systems which process context information effectively across healthcare fields and surveillance systems and human-computer interaction domains.
| 91 |
Author(s):
Chandru S/Sivakanni S.
Page No : 1-7
|
A study on the role of hr in promoting work life balance among employees..
Abstract
This study explores workplace stress, its causes, effects, and the effectiveness of stress management programs. Based on a survey of 120 employees, major stressors identified include heavy workload, tight deadlines, and lack of support. Statistical analysis shows a relationship between stress management programs and reduced stress levels. However, no significant link was found between stress impact and employees' ability to concentrate. The study highlights the need for better support systems, improved managerial practices, and initiatives promoting work-life balance to manage stress effectively.
| 92 |
Author(s):
Dr.P.Saravanan.
Page No : 1-7
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Deep Learning in Breast Cancer Diagnosis and Treatment Using Convolutional Neural Networks and Brain Storm Optimization
Abstract
Breast cancer remains one of the leading causes of mortality among women worldwide, underscoring the urgent need for early and accurate diagnosis. While Convolutional Neural Networks (CNNs) have been extensively used in medical image analysis for breast cancer detection, their performance is highly sensitive to network architecture and hyperparameter selection. This paper introduces a novel hybrid framework that integrates Brain Storm Optimization (BSO) with CNNs to enhance diagnostic accuracy and optimize treatment planning. By employing BSO—a population-based optimization algorithm inspired by human brainstorming—we automatically tune CNN parameters for feature extraction and classification tasks on mammography and ultrasound datasets. The experimental results indicate that our CNN-BSO hybrid model outperforms traditional CNN approaches, yielding higher accuracy, sensitivity, and specificity. This work not only demonstrates significant improvements in breast cancer identification but also paves the way for more robust computer-aided diagnostic systems.
| 93 |
Author(s):
Aashi Arora, Ragini Rawat, Prof. Arun Kumar.
Page No : 1-7
|
ROLE OF COMPANY SOCIAL RESPONSIBILITY IN THE CORPORATE SECTOR
Abstract
Corporate Social Responsibility (CSR) has become a cornerstone of modern business, extending the role of corporations beyond profit generation to include societal and environmental contributions. This research-based learning project, conducted by Aashi Arora and Ragini Rawat as part of their B.Com (Hons.) degree at Sharda University under the supervision of Mr. Arun Kumar, explores how CSR shapes the corporate sector. The study investigates its impact on key areas such as company reputation, customer loyalty, employee satisfaction, and financial performance, aiming to determine how CSR serves as both an ethical obligation and a strategic asset. By examining these dimensions, the research highlights the growing importance of CSR in meeting stakeholder expectations and fostering sustainable business practices in today’s competitive landscape.
To achieve a comprehensive analysis, the study employs a mixed-methods approach, combining surveys, interviews, and case studies. Surveys collected customer perspectives on how CSR influences their trust and purchasing decisions, while interviews with company executives provided insights into the strategic intent and outcomes of CSR initiatives. Case studies of firms with established CSR programs further enriched the findings by showcasing real- world impacts on reputation and market success. Supported by a literature review of existing studies, the research identifies gaps, such as the need for better tools to measure CSR effectiveness and more focus on its application across diverse industries and smaller enterprises. This multifaceted methodology ensures a well-rounded exploration of CSR’s role and benefits.
The findings reveal that CSR offers significant advantages, enhancing corporate reputation as customers and communities value ethical and sustainable efforts, which in turn boosts loyalty and sales. Employees in CSR-focused companies report higher morale and engagement, aiding talent retention, while financially, CSR can drive long-term gains through efficiency and risk management. However, challenges like high implementation costs, inconsistent standards, and risks of “greenwashing” persist, particularly for smaller firms. These limitations suggest future research directions, including refining impact measurement and exploring technology’s role in CSR execution. Ultimately, this study concludes that CSR is a powerful tool for building trust, competitiveness, and societal good, laying the groundwork for further investigation into its evolving corporate significance.
| 94 |
Author(s):
KAMLESH TURKAR.
Page No : 1-7
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STUDY AND ANALYSIS ON USE OF RICE HUSK ASH IN RIGID PAVEMENTS
Abstract
Nowadays disposing of agriculture waste are the major problem. One of the agriculture waste is Rice Husk. Every year an average of 120 million tones of rice husk are produced by paddy field. Majority of rice producing countries like India, the husk produced from the rice processing is either burnt or dumped as a waste. Rice husk can be used as a fuel if its burnt at high temperature and it turn into a ash. Ash obtained is porous as fine aggregate and its grinding into a fine power. RHA is a pozzolonic material contains 85% of silica content. Using Rice Husk Ash as a substitute material in concrete reduces the environmental problem. The Agricultural wastes used as fine aggregate in concrete are rice husk ash by 10% to 50%.
Using agro-waste in concrete pavement is a sustainable practice that enhances the durability and eco-friendliness of infrastructure. Agro-waste, such as rice husk ash, sugarcane bagasse ash, and palm oil fuel ash, can be incorporated into concrete mixtures to partially replace cement. This not only reduces the demand for cement production, which is a significant source of carbon emissions, but also utilizes waste materials that would otherwise be discarded, thus promoting environmental conservation. Additionally, agro-waste-based concrete pavements exhibit improved properties such as increased strength, durability, and resistance to cracking, making them a viable option for sustainable construction projects .
| 95 |
Author(s):
KOTA AKHIL.
Page No : 1-8
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SMART ED: AN AI-POWERED EDUCATIONAL PLATFORM FOR PERSONALIZED LEARNING
Abstract
One such evolving landscape that is taking the advantage of artificial intelligence (AI) is of education, where AI is aiding students with their personalized learning needs. In this research, we introduce SMART ED that is an AI powered educational platform which tailors the learning paths according to learner’s profile, cognitive ability as well as performance metrics. The platform adapts and is able to leverage adaptive learning algorithms and machine learning models to personalize educational content and content delivery for the students in form of what the students prefer in the manner they prefer and in the speed that they learn it [3][5]. SMART ED utilizes natural language processing (NLP) and computer vision technologies in order to add personalized tutoring mechanisms as well as interactive assessments to delivery content [4]. Additionally, real time feedback systems and predictive analytics are integrated in the proposed platform to detect knowledge gaps to recommend appropriate learning contents [2][7]. Important findings suggest that use of SMART ED enhances student engagement, memory retention and academic performance, which is far better than manual study [6]. Generative AI is also used by the platform in order to help with content creation and adaptive quiz generation, making for a very personalized learning experience [9]. El articulo describe como SMART ED ofrece una solución escalable y adaptable para resolver diferentes desafíos educativos al utilizar propuestas de aprendizaje híbrido y marcos de aprendizaje AI avanzados. Finally, the importance of the intelligent system in the universalized learning ecosystem through its potential for transforming education with AI is established.
| 96 |
Author(s):
𝑺𝒉𝒓𝒆𝒚𝒂 𝑺𝒂𝒘𝒂𝒅𝒆.
Page No : 1-8
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Prediction of Heart Disease Arrhythmia Using Machine Learning.
Abstract
Arrhythmia is a condition where the heartbeat becomes irregular—either too fast, too slow, or unpredictable. If not detected in time, it can lead to serious health issues like stroke, heart failure, or sudden cardiac arrest. Traditional methods of diagnosis often depend on expensive equipment and expert doctors, which sometimes causes delays in treatment. This study focuses on using machine learning to detect arrhythmia early and more accurately. We've built a system using models like Random Forest and LSTM (Long Short-Term Memory) to analyze ECG data and identify irregular heartbeats. Our results show that these models can find signs0 of arrhythmia more effectively than traditional methods. Research in this area generally focuses on three types of data— standard medical records, ECG and PCG signals, and X-ray images
| 97 |
Author(s):
Potnuru Gnaneswar Rao.
Page No : 1-8
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IoT Enabled Agricultural Robot for Automated Farming and Nutrient Monitoring
Abstract
The developments of a multifunctional Agricultural Robot which will be capable of automating critical operations in agriculture including tilling, sowing seeds and irrigation of the farmland will be covered through this research paper. At the heart of the system is a microcontroller-an Arduino, which governs all actions of the robot. The robot would start the operation using a high-torque DC geared motor to till the soil efficiently so that it may be set as optimum before planting. Then, it would drop the seeds at uniform intervals and at the right time, switching on a computer-controlled sprinkler to cater for moisture needs for the germination of seedlings.The robot will have various sensors as a component of the smart feature of these robots. A Soil Moisture Sensor would evaluate the moisture content of the soil, and optimize watering intervals. The DHT11 Sensor senses the room temperature and humidity, assisting in monitoring the environment. The NPK sensor is for soil nutrient composition as it helps assess soil fertility and plan the appropriate strategy for fertilizing.Based on this, the IoT module allows remote operation of the robot by farmers by controlling the working of the robot from their mobile application or web platform. It will have a positive impact by reducing physical labor dramatically.
This Agricultural Robot made feasible integration of embedded systems, IoT, and sensor technologies for smart and cost-effective yet efficient service to small and medium scale farms. The real idea behind this is to empower farmers with intelligent automation tools that take profit out of improved productivity and reduced manual labor.
| 98 |
Author(s):
Devi Sharma.
Page No : 1-8
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Microfinance in India: Current Trends and Challenges
Abstract
The motive of the paper is to highlight the issues, challenges and opportunities of microfinance section in India. Many developmental programs implemented in India, microfinance programs have a strong rural oriented and targeted the poor, especially for women. Numerous challenges are ahead of this sector like lack of accessibility, unhealthy competition, seasonal migration, political unawareness, excluding vulnerable groups, threatening the financial discipline, resource constraints, low level knowledge of microfinance institutions (MFIs) etc. On the other hand, existing in poverty in India, along with opportunities, is paving way for the growth of this sector and offering a huge market potential for microfinance. The study is based on primary and secondary
Primary Data: 25 responded were selected on the basis of convenience sampling. Microfinance in India has significant contribute to financial inclusion and poverty alleviation.
| 99 |
Author(s):
Riya Kumari Shaw.
Page No : 1-9
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“Assessing the Effectiveness of Policies Promoting Gender Equality in the Workplace”
Abstract
Encouraging gender equality in organizations is not just an ethical necessity but a strategic necessity for organizational inclusiveness and overall organizational performance. Despite the abundance of cultural values and official policies directed at reducing gender imbalances, numerous organizations continue to struggle with wide disparities. This research fills a significant gap in current literature, as it focuses mostly on policy-making and not the concrete, real-life experiences of female workers, particularly those holding leadership roles. Additionally, there is a lack of systematic comparative studies that analyze how gender equality policies work across various organizational environments and sectors. The main aim of this study is to critically evaluate the effects of activities related to the introduction of gender policies. This involves a meticulous exploration of the views held by employees of these policies and an examination of factors that lead to their effective or ineffective implementation. The data was obtained from an extensive survey involving 100 participants employed in leading organizations like Amazon and Accenture. The results identify the strengths and weaknesses areas in existing gender equality practices. Interestingly, although 100% of respondents acknowledged that their organizations had established gender equality policies, 32% only viewed these policies as very effective, indicating a serious perception gap. About 68% of the women said that such policies helped develop their careers, but 39% said there were insufficient opportunities for career progress equal to those of men, which shows enormous scope for improvement. While a majority of respondents recognized some measure of support by management towards gender equality, a mere 32% described the efforts as very strong. Major challenges mentioned were gender bias (22%), opportunities for mentorship (22%), and insufficient communication of policy (20%). Policy communication was irregular, and 47% of the participants said they only got information periodically. The study concludes that even with policies put in place to provide gender equality, there remain substantial challenges to their implementation. It suggests strengthening the enforcement of existing policies, with specific emphasis on preventing bullying at workplaces, enhancing policy-related training, and instituting mechanisms for ongoing monitoring of the effectiveness of policies. In addition, the study highlights the leadership role of management in ushering in these changes. Subsequent research would be enhanced through a larger sample size, the inclusion of qualitative analysis, and a study of the long-term ramifications of such policies on organizational culture and performance.
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Author(s):
Shivani Negi, Lucky Gupta, Prof. Abhinanda Bhattacharya.
Page No : 1-9
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IMPACT OF FINANCIAL INCLUSION STRATEGIES/ ACTIVITIES OF BANKING SECTOR IN INDIAN ECONOMY
Abstract
The banking sector in India boasts a rich historical background, encompassing traditional
banking practices during the British era to the current period of reforms, nationalization, and
privatization of banks, as well as the growing presence of foreign banks. As a result, In India,
the banking industry has gone through long journey. With changing times, the industry has
achieved great heights and found new ways in technology so that banks can operate.
However, the fundamental principles of banking, such as faith and reliability in institutions,
never vanished. Most banks continue to maintain the trust of their shareholders. The
changing dynamics of the banking business brings risks in new area. This paper aims to
outlook the new challenges and basic opportunities for the Indian banking industry. It is
distributed into three major parts, firstly it provides an overview of the Indian banking
industry and its current scenario, secondly it discusses all the challenges and opportunities in
the industry, and in third part it focuses con Indian banking products and marketing
strategies. The industry gains competition nationally as well as globally. It serves the
bankers, strategists, policymakers, and researchers
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Author(s):
P.MATHUMITHA.
Page No : 1-10
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ANTIBACTERIAL ACTIVITY OF LACTIC ACID BACTERIA ISOLATED FROM PROBIOTIC HEALTH DRINK YAKULT
Abstract
Yakult is a popular probiotic drink that contains a specific strain of beneficial bacteria called Lactobacillus casei Shirota. It was developed in Japan by Dr. Minoru Shirota in the 1930s and is known for its potential digestive health benefits. The increase of antimicrobial resistance has required the exploration of other bio-therapeutic agents. The capacity of lactic acid bacteria (LAB), which are well-known for their probiotic qualities, to generate antimicrobial chemicals has made them attractive candidates. This study examined the antibacterial activity of LAB strains that were isolated from the commercially available probiotic health drink Yakult against a number of pathogenic pathogens, such as Salmonella typhi, Pseudomonas aeruginosa, Staphylococcus aureus, and Escherichia coli. De Man, Rogosa, and Sharpe (MRS) medium was used to cultivate the isolates, and their morphological and biochemical traits were used to identify them. The agar well diffusion method was used to measure antimicrobial activity.
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Author(s):
S Kavin Kumar, J Aromah Jeso,V Esther Aarthi Nitha, M Karthick,V Miriam Preethi ,C Sasikala, M Nivethitha, S S Sudha.
Page No : 1-11
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HERBAL OINTMENT WITH ANTIBACTERIAL PROPERTY FROM PROSOPIS JULIFLORA LEAF
Abstract
Prosopis juliflora, commonly known as mesquite, has various potential medical uses, although it's primarily considered an invasive species in many regions. Some of its reported medical uses include some traditional healing practices, various parts of the Prosopis juliflora plant, such as the bark, leaves, and pods, have been used to treat ailments like diarrhea, skin conditions, and respiratory issues. Prosopis juliflora leaves, like many other plant leaves, contain various compounds, such as tannins and phenolic compounds, that may have some mild astringent and antibacterial properties. These compounds could potentially help protect a wound from infection and promote healing to some extent when applied topically our study aims to formulate and evaluate the herbal ointment against diabetic foot ulcer using Prosopis juliflora and analyzing its antimicrobial activity.
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Author(s):
Dr. Rajesh Kumar Pandey.
Page No : 1-12
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A STUDY ON CONTEMPORARY ISSUES IN BUSINESS ADMINISTRATION WITH SPECIAL REFERENCE TO THE MANUFACTURING SECTOR IN INDIAN CONTEXT
Abstract
Globalization has transformed supply chains, offering both opportunities for market expansion and vulnerabilities to disruptions such as trade tensions and natural disasters. Moreover, environmental sustainability has emerged as a critical concern, compelling manufacturers to adopt eco-friendly practices and reduce their carbon footprint. In the manufacturing sector, several key issues in business administration warrant attention to ensure efficiency, sustainability, and competitiveness.Addressing these key issues effectively is essential for achieving long-term success and resilience in today's competitive manufacturing landscape.
This study is an exploratory & descriptive study conducted with the help of both primary and secondary data. The Researchers have gathered responses of 10 companies pertaining to the theme of the study. The Researchers aim to understand the concept & significance of the Business Administration at Organisations. The study further aims to study the contemporary issues in the Business Administration at Organisations. The Researchers have identified the key issues with respect to Business Administration at Organisations. The study encapsulates the domain of business administration. The results are limited to the inferences of the selected companies; hence the results may be indicative in nature rather exhaustive. In the dynamic landscape of the manufacturing sector, effective business administration is essential for maintaining competitiveness, adapting to market changes, and driving innovation.
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Author(s):
Kautilya Shankar .
Page No : 1-13
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The Influence of Ecological Marketing on Consumer Confidence and Brand Allegiance
Abstract
Ecological advertising and marketing, or green advertising, has evolved as a widespread approach within the current enterprise landscape, reflecting a developing customer choice for sustainability and environmental responsibility. This study analyses the have an impact on of ecological advertising and marketing on customer self-belief and brand dedication.It investigates how corporations that embody environmentally-friendly methods and promote sustainable merchandise can enhance purchaser agree with and increase lengthy-term loyalty. By integrating eco-conscious messages into their advertising techniques, firms can attraction to the values of environmentally-conscious clients, main to deeper emotional ties and greater brand perceptions. The research additionally explores the effect of openness, corporate social duty, and eco-certifications in building purchaser self-assurance. Through empirical evaluation and a assessment of pertinent case studies, this research illustrates the symbiotic courting among ecological advertising and marketing efforts and purchaser behaviour, underlining the fee of sustainability in growing emblem loyalties in today’s aggressive market. The findings underline the ability of inexperienced advertising and marketing to no longer only pressure customer purchasing choices but also to bolster lasting consumer-brand relationships in an increasingly eco-aware market surroundings.
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Author(s):
Nikhil Pandey .
Page No : 1-13
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The Impact of AI and Automation on E-Commerce and Quick Commerce Marketing
Abstract
Abstract
Automation and artificial intelligence (AI) are radically changing marketing tactics in the quickly growing quick commerce (q-commerce) and traditional e-commerce industries. Examining how these technologies affect customer acquisition, hyper-personalization, dynamic content creation, programmatic advertising, predictive inventory management, and AI-powered customer service, this study explores the disruptive effects of these technologies throughout the marketing value chain. We examine how real-time interaction, smart consumer segmentation, and optimal marketing expenditure are made possible by AI-powered solutions, which increase customer experiences and return on investment. The study specifically examines the crucial role that AI and automation play in the fast-paced world of q-commerce, where quick satisfaction demands flexible marketing strategies. We examine how these technologies support automated order fulfilment communication, efficient last-mile delivery, and micro-moment targeting—all of which are essential for preserving a competitive edge. Beyond the advantages, this study evaluates the ethical issues and problems brought about by the extensive use of AI and automation in online retail marketing. These issues include algorithmic bias, data security, and the changing skill sets needed by marketing professionals in this technologically advanced age. In the end, this abstract highlights how AI and automation have the revolutionary potential to reshape customer engagement and marketing efficacy in the rapidly changing e-commerce and fast commerce ecosystem.
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Author(s):
Lakshmi Raj.
Page No : 1-13
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The role of Healthcare Analytics in Enhancing Decision-Making: A study on it’s impact and application.
Abstract
This research examines the effect of healthcare analytics on clinical decision making in five important variables: Real-time Data, Data Quality, Patient Outcome, Data Interoperability, and Health Disparities. Data were examined through multiple linear regression to investigate the connection between the independent variables and clinical decision making. The regression model was statistically significant and accounted for 55.1% of the variance in clinical decision making (R² = 0.551). Real-time Data, Data Quality, Patient Outcome, and Health Disparities were revealed to have substantial impacts on clinical decision making. Interestingly, Real-time Data contributed most strongly positively, while Patient Outcome contributed significantly but negatively. Data Interoperability did not reveal a statistically significant effect. Key outcomes of the work highlight the vital importance of using real-time, high-quality data to inform clinical decisions and incorporating equity considerations within healthcare analytics. The negative direction of the observed relationship with patient outcomes indicates an imperative to drill further into whether and how the data on patient outcomes are currently being used within practice. With a small sample size, a convenience sampling process, and utilizing self-reported information, the current study is bounded by limitations around generalizability. The study adds to what is known regarding the impact that certain elements of healthcare analytics have on clinical decision making and presents actionable, strategic, and policy-level recommendations for improving data-informed healthcare provision.
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Author(s):
Mr. Senthur Murugan M, , Prof. Mr. Manoj R, Prof Ms. Shalini R.
Page No : 1-14
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COMPARING SELF COMPASSION AND RESILIENCE BETWEEN INDIVIDUALS WHO PRACTICE EXERCISE IN INSTITUTIONAL SETTING AND THOSE WHO DON’T, AMONG YOUNG ADULTS
Abstract
This research sought to examine differences in levels of self-compassion and resilience between
young adults who regularly exercise within organizational environments and those who do not.
Non-probability convenience sampling was used to select 206 participants aged between 18 and
35 years, consisting of both male and female subjects. Validated psychological tools were
employed to assess both self-compassion and resilience. The findings indicated a significant group
difference in resilience scores, showing that organized exercise has the potential to add positively
to the ability of individuals to cope with stress and adversity. There was no significant difference
between the groups for self-compassion. These findings indicate that although institutional
exercise could be associated with higher resilience, self-compassion could be related to something
else. The research identifies the possible psychological advantage of organized physical exercise
and calls for further examination of the determinants of self-compassion in young adults.
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Author(s):
Dr. Renu, Assistant Professor, Department of Management Studies, Gateway Institute of Engineering & technology, Haryana, India. Ms. Diksha BBA 2nd Year Student, Department of Management Studies, Gateway Institute of Engineering & technology, Haryana, India..
Page No : 1-15
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A Study of Employee’s Perception of Artificial Intelligence in Today’s Era
Abstract
This study explores the perceptions of employees towards Artificial Intelligence (AI) in the workplace, examining the factors that shape these perceptions and their implications for organizational success.. This research draws on a combination of quantitative surveys and qualitative interviews with employees from diverse industries to assess their views on AI's impact on job security, work tasks, decision-making, and overall work-life balance. The study identifies key factors influencing employee perceptions, including individual characteristics (e.g., technological literacy and job role), organizational culture, leadership communication, and societal attitudes toward AI. The findings suggest that while many employees view AI as a tool to enhance productivity and streamline tasks, concerns around job displacement, privacy, and ethical implications remain prominent. The paper also discusses how positive perceptions of AI can foster greater adoption, innovation, and job satisfaction, whereas negative perceptions can lead to resistance, fear, and disengagement. Based on the results, the study provides recommendations for organizations to address employee concerns, promote transparency, and facilitate AI training, ultimately contributing to a more productive and harmonious work environment. This research highlights the importance of understanding and managing employee perceptions as a critical factor in the successful implementation of AI technologies in the workplace.
Keywords: AI, Employees, Perceptions, Factors, Impact
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Author(s):
Sakthishree.
Page No : 1-24
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Relationship between Peer pressure , Academic motivation and Procrastination in college students
Abstract
This study explores how peer pressure influences academic motivation and procrastination among college students, particularly those studying currently. It looks at both positive and negative peer influences to understand how they shape students' academic habits—whether they stay motivated or tend to put off tasks. The research involved 215 students, chosen through simple random sampling to ensure a diverse mix of participants. Using validated measurement tools, the study found a strong link between peer pressure and procrastination, with academic motivation playing a key role in this relationship. These findings offer valuable insights for educators and policymakers seeking to develop strategies that reduce procrastination and boost students' motivation in college settings.