| 1 |
Author(s):
Rahul Gangurde.
Page No : 1-2
|
Solar Operated Indoor Air Purifier With Air Quality Monitoring
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. Hence the fabrication of low cost solar powered air purifier made using a HEPA filter, Activated carbon filter, solar panel and some miscellaneous components that can become low cost but efficient alternative for surviving in such difficult times. The air purifier uses various process like filtering large dirt particles on the first pre filter, then capturing dust particles and smoke molecules at the HEPA filter produces clean purified air
| 2 |
Author(s):
Dr.Vineeth Mathew.
Page No : 1-3
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THE IMPACT OF COVID-19 ON THE GROWTH OF OVER-THE-TOP (OTT) PLATFORMS: A CASE STUDY OF KERALA, INDIA
Abstract
ABSRACT
The COVID-19 pandemic has transformed the digital media and entertainment scenario and significantly accelerating the growth of Over-the-Top (OTT) platforms worldwide. Lockdown and social distancing due the pandemic restricted audiences to their homes and traditional film viewing habits changed towards digital platforms. The study analyses the impact of covid pandemic on the growth of OTT platforms in Kerala, a southern state in India, highlighting an increase in subscribers, content consumption, and the evolution of user preferences. The Covid pandemic has escalated the growth of OTT platforms due to changes in buyer behavior, including accelerated demand for remote work and entertainment, as well as changes in government regulations and policies. Covid-19 pandemic has had a considerable impact on the growth and popularity of OTT platforms and these platforms will continue to play a major role in the future of media and entertainment. The study examines the impact of the COVID-19 pandemic on the growth of major OTT platforms in Kerala and research employs both quantitative and qualitative methods to analyse the change in consumption patterns, buyer preferences, and factors favours during the pandemic period.
| 3 |
Author(s):
S.Razeek.
Page No : 1-3
|
A STUDY IN AI FOR PERSONALIZATION IN MEDIA AND ENTERTAINMENT
Abstract
The use of Artificial Intelligence (AI) in the media and entertainment sector has completely changed how content is delivered, making user engagement much more interactive through personalized experiences. This research looks into how AI personalizes content by analyzing various secondary sources, such as academic papers, industry reports, and case studies from streaming services, social media platforms, and digital entertainment companies. Additionally, it raises important ethical issues like data protection, algorithmic bias, and the need for transparency. By bringing together existing literature, this study sheds light on AI-driven personalization and its potential influence on the future of the media and entertainment industry.
| 4 |
Author(s):
Shiven , khyati, diya , yanshi .
Page No : 1-3
|
A STUDY ON DIGITAL MARKETING : A RETROSPECTIVE
Abstract
Digital marketing has revolutionised the way businesses engage with consumers by leveraging digital technologies such as the Internet, mobile devices, and social media. As digital platforms become more embedded in marketing strategies and consumer habits, businesses increasingly rely on digital marketing to enhance their outreach and efficiency. This paper explores the conceptual framework of digital marketing, its impact on modern business strategies, and practical examples of its implementation. The study highlights how businesses can use digital marketing to expand their market presence, optimise sales processes, and improve customer engagement. Additionally, it examines the role of emerging technologies and customer-centric approaches in shaping the future of digital marketing. By analysing key digital marketing strategies, this paper provides insights for businesses, researchers, and marketers seeking to enhance their visibility and effectiveness in the digital landscape.
| 5 |
Author(s):
1Dr. Sakthi Kamalnathan. 2.Syed HASSAN RAZA. 3.Zuha Fathima.
Page No : 1-3
|
Recruitment in Small Firms: Processes, Methods, and Issues
Abstract
This paper presents the findings of a recent case study investigation into recruitment practices within
small firms. The research explores whether these firms adhere to the systematic procedures
recommended in the literature and how much they depend on informal methods. The results indicate
that very few small companies implement the formal, step-by-step approach advocated in textbooks.
Instead, many rely on "tried and trusted" techniques-such as word-of-mouth referrals and hiring
individuals who are already familiar to the organization. Although these methods offer certain
advantages, they also introduce potential problems. The study contends that adopting more
structured recruitment practices could help reduce staff turnover and its associated costs. However,
it also notes that many small business owners might prefer their current, seemingly cost-effective
practices in the short run.
| 6 |
Author(s):
Nataraj Kolipaka.
Page No : 1-4
|
HR Practices in Intelligent Automation Age : Current Perspectives and Future Ahead
Abstract
Human Resources (HR) has always been considered vital to the firm's success. It plays a key role in identifying talent gaps, and resources a company needs to outperform, compete, and be more productive. But, with globalization, the ever-increasing need to integrate modern technology solutions into business processes, and evolving social and cultural values, HR has greatly been transformed. Though the future of human resources is more promising with new technologies making it all easy for human resources professionals, departments, and organizations to act more responsibly and confidently and reach their goals in less time, it is beset with new challenges that arise due to technology in terms of remote work management, transparency, security, and other interconnected factors. With evolving tech, HR practices are more prone to change and risks in automation, remote work, diversity, inclusion, data analytics, data security, and other interconnected aspects. This paper explores some of the key HR practices of the future with a due focus on the trends in technology and the way such technologies redefine HR operations. It describes how HR of the past worked, how HR of the present works and what the near future holds. It provides insights into significant changes the HR industry has undergone with the introduction of the technology and how new perspectives and challenges can be dealt with for improved HR operations.
| 7 |
Author(s):
HARINI JOICE M.
Page No : 1-4
|
A Study of Artificial Intelligence in Human Resource Management andRecruitment
Abstract
This study examines the role of artificial intelligence (AI) in the management and selection of staff due to the analysis of secondary data. It examines existing research, thematic research, and industry relationships to understand the influence of AI on the effectiveness of hiring, the choice of candidates, and the general HR practice. The study highlights key AI tools, including automation, cat analysis, and robot prediction, and assessing future possibilities in transforming personnel operations and employment strategies.
| 8 |
Author(s):
Nimish Lalit Lohokare .
Page No : 1-4
|
SMART SPEED REGULATION SYSTEM
Abstract
Road accidents due to over speeding are a major concern in modern transportation. The Smart Speed Regulation System (SSRS) aims to enhance road safety by automatically monitoring and controlling vehicle speed based on real-time speed limits. This system integrates GPS-based speed limit detection, wireless data transmission, real-time speed monitoring, driver alerts, and automated braking to ensure compliance with road safety regulations.The proposed system consists of a mobile-based Python server, a NodeMCU (ESP8266) module, an Arduino microcontroller, an IR sensor, a Bluetooth module, and a braking mechanism. The mobile phone acts as a GPS module and runs a Python server that fetches the current speed limit based on GPS coordinates. This speed limit is transmitted wirelessly via TCP/IP to the NodeMCU, which relays it to the Arduino through Serial Communication (UART). The Arduino continuously monitors the vehicle speed using an IR sensor and compares it with the received speed limit.
If the vehicle exceeds the permitted speed, the system triggers an overspeed warning via Bluetooth to notify the driver. If the driver fails to slow down, the system automatically applies the brake for a short duration and then releases it to ensure controlled speed reduction.The SSRS system is a cost-effective and efficient solution for intelligent speed management, significantly reducing the risk of accidents due to overspeeding. By integrating IoT, real-time data processing, and automated control mechanisms, this project contributes to the development of smart and safe transportation system’s.
| 9 |
Author(s):
Mrs.K.Ganga Devi Bhavani.
Page No : 1-4
|
Intelligent Path Navigation for Autonomous Drones Using Deep Neural Networks
Abstract
Path planning plays a critical role in autonomous navigation, particularly in environments filled with multiple obstacles. Effective path planning ensures that an autonomous system can reach its destination efficiently while avoiding collisions. This study focuses on the Sequential_9 model, a navigation approach designed to optimize both efficiency and safety. The model was tested in a scenario containing five obstacles, where it successfully computed an optimized route while maintaining safe distances from potential hazards.
The evaluation results demonstrate the model’s remarkable performance. The total path length taken by the Sequential_9 model was 75.18 units, which is extremely close to the straight-line distance of 75.12 units, leading to a path efficiency of 99.92%. Such high efficiency indicates that the model minimizes unnecessary deviations while navigating through complex environments. Moreover, the model ensured a minimum clearance of 9.16 units from obstacles, highlighting its strong collision avoidance capabilities.
These findings underscore the Sequential_9 model’s ability to generate precise, safe, and near-optimal paths, making it a promising solution for applications requiring autonomous movement in dynamic and constrained spaces. Future work may involve testing under varying obstacle densities to further validate its robustness and adaptability.
Keywords: path planning, autonomous navigation, collision avoidance, Sequential_9 model, path efficiency, safety margin.
| 10 |
Author(s):
Asst. Prof. Christopher Louis, Asst. Prof. Neethu Nazar, Asst.Prof. Jisha Sivadasan .
Page No : 1-4
|
The Role of Forensic Accounting in Strengthening Corporate Governance and Fraud Detection
Abstract
Abstract
Forensic accounting has emerged as a critical tool in enhancing corporate governance and detecting financial fraud. This study explores how forensic audits contribute to financial transparency, improve internal controls, and mitigate fraudulent activities. Using statistical methods such as ANOVA and Factor Analysis, this research examines the impact of forensic audits on corporate governance structures. The findings suggest that forensic auditing significantly reduces financial crimes, strengthens internal controls, and enhances auditor training. This paper provides insights into the role of forensic accounting in corporate governance and fraud prevention, offering recommendations for its broader implementation in businesses.
| 11 |
Author(s):
Vaibhav Kumar.
Page No : 1-4
|
Electrification in Transportation and Optimization: An Outlook for Indian Electric Vehicles Segment
Abstract
The public and private sectors have been investing in order to make the electrification widely available. Scholarly authors, governments, manufacturers, and engineering firms understand the local needs when they align themselves to catering them to support economic development, sustainable health and infrastructure development. Electrifying the transportation sector is multifaceted problem solving air pollution and affordability. Upon aligning with these goals, public and private transportation electrifies cars, school buses, bikes, and commercial vehicles. Review of the literature from recent years shows a positive relationship between electric vehicles adoption with respect to the education, research, and government initiatives. But depending on the location and extent of sustainable practices few exceptions are possible. Neighborhoods may see a quit streets from electric vehicles incidental to the reduced air pollution from them. Empirical formula development was the aim of this paper where independent variables were the research, education, and government initiatives for the dependent variable on-road electric vehicles.
| 12 |
Author(s):
Dr. S. Adilinissa.
Page No : 1-5
|
A STUDY ON EMERGING TRENDS IN HUMAN RESOURCES MANAGEMENT
Abstract
ABSTRACT
This study explores the emerging trends in human resources management, with a focus on their impact on organizational performance. Numerous experts emphasized that human resources need to be managed with greater care and attention than any other organizational resource. The HR manager's responsibilities must evolve with the organization. Successful businesses are growing more customer-focused, resilient, flexible, and fast to shift course. The HR professional must become proficient in planning, coordinating, directing, and regulating human resources in this setting. They also need to be aware of new developments in employee development and training. Any organization's success depends critically on its human resources. It provides support and strength. Organizations in today's complicated world are heavily impacted by changes occurring both within and externally. Without adequate human resources, no firm or organization can evolve, survive, or expand. As a result, every forward-thinking organization now prioritizes human resources. The challenges can be faced by HRM effectively, if proper strategies are implemented. Hence, the role of HRM will be more significant in future due to the emerging scenario. This paper is an attempt to explain the emerging trends in HRM.
| 13 |
Author(s):
Swaroop Guvva.
Page No : 1-5
|
A Study On AI Implementation and Automation With Artificial Intelligence in Business Marketing and Transformation
Abstract
Business marketing has moved to the next level of innovation with AI. Artificial Intelligence (AI) has incredibly great potential in optimizing business marketing and marketing management operations. There has been tremendous growth in the use of AI in marketing by enterprises across the globe. It has its influence on almost all core areas from analytics to automation, process management, and interaction with clients, data storage, and other core factors within the realm of marketing. This paper evaluates the role of AI in marketing and how businesses reach their goals by integrating it into their business systems. The role of AI is poised to evolve and further contribute to the growth of digitized marketing and management. Driven by the need to align operations with global business transformation strategies, it is expected to influence and impact greatly. The paper highlights ways in which companies can leverage AI’s true potential. It also offers possible solutions to overcome the challenges of implementing AI in business marketing and management.
| 14 |
Author(s):
Hemanth P.
Page No : 1-5
|
A STUDY ON INVESTOR’S BEHAVIOUR AT THE TIME OF INVESTMENT
Abstract
Previously, individuals invested primarily in secure instruments such as post offices and fixed-return banks. Nowadays, though, there are numerous investment options, and the stock market is one of the most sought-after ones. Individuals are more ready to assume greater risks for the promise of higher returns. The universal investment principle is that the higher the risk, the greater the potential reward, and the stock market is among the major avenues for investors seeking high-risk, high-reward investments. An investment strategy is a policy that assists an investor in the choice of a suitable portfolio for attaining monetary objectives within a specified time limit. Investing is also advantageous for companies as it enables them to raise funds by using financial markets. Investments offer different benefits to investors, companies, and society at large
This research aims to comprehend the investment behavior of salaried employees in India, with a focus on behavioral finance. It defies the classic understanding of rational decision-making by considering the impact of human behavior and prejudices on investment decisions. It emphasizes the increasing popularity of sustainable, long-term investments and explores how cognitive biases, risk perceptions, and social influences play a role in making such decisions. Through the utilization of both qualitative interviews and quantitative surveys, the research seeks to offer insights into the psychological drivers of sustainable investment practice and help in upholding sustainable investing in India
| 15 |
Author(s):
Marietta Mckenzie .
Page No : 1-5
|
REVOLUTIONIZING BANKING: THE IMPACT OF ARTIFICIAL INTELLIGENCE ON INNOVATION, EFFICIENCY, AND CUSTOMER EXPERIENCE
Abstract
Banks, with all the kinds of clients that they have to deal with, still use legacy technology. This is not good because all other sectors of industry have automated and used AI, enhancing efficiency and cutting fraud. The argument here is that banks have to modernize by adopting virtual assistants and AI/machine learning. By doing so, profitability, performance will be enhanced, and there will be lesser dependence on human intervention, hence making banking more efficient, accurate, and fast.
This research paper examines the revolutionary potential of Artificial Intelligence (AI) in the banking industry in recent years.it looks at how Artificial Intelligence (AI) may develop the banking industry. Although banks deal with enormous amounts of customer information and intricate processes, most still use legacy systems. The use of legacy systems leads to inefficiencies, raises the threat of fraud, and prevents offering customized customer experiences. This paper explores how AI, such as machine learning and virtual assistants, can transform banking operations. We examine the effect of AI on significant areas like fraud detection, risk management, customer service, and customized financial counseling. We also examine challenges and opportunities faced by AI deployment, such as data security, regulatory compliance, and ethics. The article contends that the adoption of AI is imperative for banks to stay competitive in the fast-changing financial environment, allowing them to enhance efficiency, lower costs, increase customer satisfaction, and spur innovation. Through case studies and examination of existing trends, we illustrate the substantial advantages of AI adoption and provide recommendations for effective integration strategies in the banking sector.
| 16 |
Author(s):
L.KUSHALA.
Page No : 1-5
|
EXPLORING TRENDS IN SOCIAL MEDIA ADVERTISING STRATEGIES
Abstract
ABSTRACT
Social media sites have increased tremendously over the past decade, transforming the way we interact. They provide an inexpensive method of collecting different opinions. Social media content analysis enables us to know social arrangements, study behaviour patterns, and even forecast upcoming human events. This paper delves into what can be forecasted using social media, examines existing prediction techniques, and talks about the limitations and future potential in this area. Social media information provides a useful record of human behaviour and intention, which allows observation and forecasting. It has the virtues of accessibility, scale, and relevance. Studies based on this information confront typical issues such as data bias, noise, limited generalizability, poor theoretical basis, and the natural challenge of forecasting. Promising outcomes dictate further study notwithstanding these shortcomings.
This article discusses the future of social media marketing by grouping nine major themes into near, immediate, and distant future time horizons. It discusses these themes from consumer behaviour, industry practice, and public policy viewpoints, reviewing the present digital environment, forecasting, and proposing future research agendas for scholars and practitioners. The emphasis is on the changing role of social media in the lives of individuals and companies, and its profound impact on attitudes towards the Future of Work.
| 17 |
Author(s):
Ravi Suvarna.
Page No : 1-5
|
Business Management and Transformation in the Age of Artificial Intellige
Abstract
Artificial Intelligence (AI) is rapidly transforming the business landscape, impacting almost all business sectors and industries. This paper provides insights into modern business management processes and the role of AI in business transformation. It explores ways in which small and big enterprises optimize and enhance business decision-making, and improve customer experiences. Though AI offers myriad benefits in effective administration, there are various challenges businesses grapple with. The paper explores approaches, methodologies, and procedures that enterprises can adopt to address these challenges and tap into the real potential of AI for business expansion, and operations management.
| 18 |
Author(s):
ALEENA K P.
Page No : 1-5
|
THE RISE OF NEO BANKS AND THEIR IMPACT ON THE TRADITIONAL BANKING SYSTEM
Abstract
Neobanks operate exclusively online, providing a fully digital banking experience. Traditional banks often require customers to spend significant time and effort on routine transactions. Neobanks enhance traditional banking by offering a user-friendly, digital interface. Neobanks goal is to provide a very smooth online experience. Think of neobanks as your full-service digital wallet. They pack a ton of financial tools right into your phone or computer. You can manage your checking and savings accounts, apply for loans, make payments, invest, and even track your budget, all within their apps or websites. And because they handle sensitive financial information, neobanks put a huge emphasis on keeping your data private and secure. Even though neobanks are shaking up the financial world, they still have hurdles to overcome, especially when it comes to following all the banking rules. But, there's a lot of potential for them to grow. They can really stand out by creating even better, easier-to-use apps and offering unique financial products tailored to individual customers. While neobanks are definitely gaining traction, don't expect traditional banks to vanish. Both types of banks can coexist, each serving different customer preferences in today's evolving banking landscape.
| 19 |
Author(s):
Ashish Reddy Kumbham , Sandeep Kumar Dasa .
Page No : 1-5
|
Conversational AI as a Dynamic Tool for Risk Assessment and Regulatory Compliance.
Abstract
Conversational AI allows risk management to deal with dynamic, adaptive, and scalable solutions. They are employed by using NLP and ML methods and principles for achieving the objective of simplifying compliance control processes for achieving better results in risk management as well in decision making. Therefore, by relying on such systems as the ones mentioned above, the company will be able to achieve the following objectives: This paper analyses the results of a simulation of conversational AI in both financial and healthcare industries, discusses live case contributions, and considers issues of data privacy and algorithmic prejudice. In presenting the solutions based on ethical AI practices and the fostering of conversational AI and adaptive learning, the paper underlines the change of conversational AI in responding to diversified regulatory requirements and minimizing diverse risks in various industries.
| 20 |
Author(s):
Dr. B. Swathi, Mohammed Ismaieel Shaik Hyder, Hamza Shariff.
Page No : 1-5
|
A Study on Work Life Balance Amongst Software Employees Post Covid
Abstract
The work life balance of software employees post covid-19 pandemic has altered the work environment significantly. The review of literature examines how work life balance has evolved in the post pandemic era, mostly focusing on the software development profession, such as remote work adaptation, extended screen time and high demand of cognitive mind. The shift of hybrid to fully remote work has resulted in greater flexibility but also broken the boundaries between professional and personal life. This shift has given rights to new challenges such as disrupted routines, difficulty disconnecting from work, and increased burnout.
The study aims to explore the key factors that influence work life balance which includes technological advancements, individual coping strategies, and practices of team collaboration. The research also assesses how organizational policies impact on building sustainable work environments, such as mental health support, productivity driven outcomes, and flexible schedules. The date was gathered through case studies evolving software employees across regions and organizational context. The findings from the research indicate that employees who have established clear boundaries, prioritize mental wellbeing, and leverage productivity tools reported improve work life balance. Conversely, insufficient support from the organization and the over dependency on digital communication tools contributed to increase in work related stress. The research concludes with recommendations for both employees and employers to navigate through post covid-19 work environment and emphasizing the importance to maintain a healthy balance between professional and personal life.
| 21 |
Author(s):
Dr.S.Suresh .
Page No : 1-5
|
Intelligent Object Recognition and Motion Tracking for Self-Driving Vehicles
Abstract
This paper presents a comparative analysis of advanced object detection algorithms within the context of autonomous driving systems. The study integrates a custom-built Region Proposal Network (RPN) and Fast R-CNN model with the well-known YOLO (You Only Look Once) model, evaluating their performance in real-time object detection tasks. The RPN framework is designed to generate high-quality object proposals by leveraging convolutional layers, regression, and classification components, while the Fast R-CNN refines these proposals and performs object classification and bounding box regression using fully connected layers and Region of Interest (RoI) pooling. In contrast, YOLOv8, a state-of-the-art object detection model, performs end-to-end object detection by predicting bounding boxes and class labels directly from the input image. The evaluation highlights the modular and adaptable nature of the RPN-Fast R-CNN pipeline, which benefits from its ability to operate under varied sensor configurations and handle individual sensor failures effectively. YOLOv8 is assessed for its real-time performance, offering a comparison in terms of speed and accuracy. Results indicate that while the RPN-Fast R-CNN combination provides flexibility and robustness, YOLOv8 achieves an accuracy of 95.2%, offering superior real-time detection capabilities. The study underscores the strengths and trade-offs between modular object detection frameworks and unified end-to-end models.
| 22 |
Author(s):
Dana Elena Murariu .
Page No : 1-5
|
Exploring the meat–sex nexus through tweets
Abstract
This study investigates the intricate discourses surrounding the meat–sex nexus. Through an analysis of a major dataset comprising meat-related tweets with sexual content, the study delves into the cultural and gender dynamics involved. Employing word counts and objective hermeneutics, these findings are interpreted through the theoretical frameworks established by Carol J. Adams (1990), Jacques Derrida (1990), and other contemporary narratives in which the consumption of meat often reflects deeper societal and cultural values. The study elucidates how the image of meat is helpful in both bragging about and criticizing sexual practices and how the image of sex helps in the positioning of oneself relative to meat consumption. These findings enhance the understanding of the social and cultural ramifications of these discourses, thereby contributing to the broader discourse on gender, food, and societal norms.
| 23 |
Author(s):
Mr. Akshay K. Khandagale.
Page No : 1-6
|
Design and Manufacture a Pressure Die Casting Tool for the manufacturing of the Clutch hub
Abstract
DIE CASTINGS are produced by forcing molten metal under pressure into metal mould called dies. Mould filling in permanent mould casting depends on the force of gravity, die casting involves metal flow at high velocities induced by the application of pressure. Because of this high velocity filling, die casting can produce shapes that are more complex than shapes that can be produced by permanent mould casting.
| 24 |
Author(s):
Raveendar Oddi.
Page No : 1-6
|
AI’s Emerging Role in Revolutionizing Software Project Planning and Future Challenges
Abstract
Artificial Intelligence is rapidly transforming project management across various industries, and software development project management is no exception. Managing software development projects using AI is more beneficial but it has its challenges. This paper highlights the current difficulties in managing software development projects through AI-enabled processes. It delves deep into some of the core problems that small and big enterprises grapple with while integrating AI into their SDLC (Software Development life cycle) management. It provides fair and unbiased reviews of the existing literature, analyzes and presents insights into AI and its use in project management more systematically, and offers possible solutions to overcome challenges that exist in the integration of AI in modern and agile project management processes It also describes future possibilities and ways in which software development companies can tap into the growing power of AI in project management to manage projects with improved outcome or greater success.
| 25 |
Author(s):
Rahul choudhary .
Page No : 1-6
|
THE ROLE OF GOVERNMENT SCHEMES IN PROMOTING ENTREPRENEURSHIP IN INDIA
Abstract
Entrepreneurship in India is considered to be one of the main drives for economic development, innovation, as well as employment. In fact, the Government of India in its quest to the entrepreneurial development in the country has initiated several activities such as Startup India, Stand-Up India, Pradhan Mantri Mudra Yojana (PMMY), Make in India, Atmanirbhar Bharat Abhiyan, and Skill India. These initiatives offer financial aid programs, business incubator, skill build-up, and regulation reforming among other support to enable the entrepreneurs probably in the MSME sector and the startup ecosystem. This research evaluates the contribution of the governmental initiatives to the enhancement of entrepreneurship, the increase of ease of doing businesses, as well as the creation of jobs. It also investigates the effect of the reformatory policies like the Goods and Services Tax (GST) and Insolvency and Bankruptcy Code (IBC) in easing the regulatory burden. Moreover, the article of digital developments whereby Digital India and Atal Innovation Mission have managed to motivate the youth to get involved in the manufacturing of digital products is critically considered. Although some steps in the right direction have been taken, certain barriers still stand in the way such as the bureaucracy's incompetence, the public’s unawareness, and the financial obstacles of startups. The survey showed that while ninety-point six percent of the participants knew about these government support programs, they still encountered issues (due to convoluted procedures) in the application process. Satisfactory intensity among users was inconsistent, thus showing some glitches in the implementation of the projects. This paper suggests simplifying application procedures, increasing financial literacy, public-private partnerships, and AI application in policy modification. Outreach programs have to be designed in a way that ensures they are inclusive enough for all the groups they target, women, rural entrepreneurs, and marginalized communities. If these logistical problems are attended to it will be a great deal to improve the effectiveness of these government programs in the country.
| 26 |
Author(s):
Prasanthi Vallurupalli , Sandeep Belidhe .
Page No : 1-6
|
Deploying Lightweight Neural Networks on Edge Devices Using Knowledge Transfer
Abstract
Abstract
When analysing the data right away with as little delay as possible, it becomes crucial to use lightweight neural networks on edge devices. IoT sensors, smartphones, and wearable devices invariably impose computational limitations and cannot support complex neural networks. This issue is solved by knowledge transfer techniques where the teacher-student paradigms train smaller and less rigorous student models to perform like the more complex teacher models. This process achieves high accuracy while decreasing model size and computational requirement considerably. Real-life applications are self-driving cars making decisions quickly, home automation to control, and the constant monitoring of personal health using wearable devices that need to analyze physiological information on the go. A balanced design with performance and efficiency is made with aspects of knowledge transfer interwoven into these compact models. This paper discusses the application of LWNNS on edges, the real-time realizations of edges, and the issues and resolutions related to implementing scalable and efficient edges.
| 27 |
Author(s):
Mrs.Ch.Sowjanya.
Page No : 1-6
|
Leveraging AI for Early Stroke Risk Prediction: A Machine Learning Approach
Abstract
Stroke is a leading cause of disability and mortality, placing substantial burdens on healthcare systems worldwide. Radiomics analysis, an advanced artificial intelligence (AI) technique, transforms medical imaging into quantitative features to enhance predictive modeling and support precision medicine. This study systematically reviewed the application of radiomics in predicting disability outcomes following ischemic stroke. Using PRISMA guidelines, six studies were identified, focusing on predictive models integrating radiomics and clinical features. The findings demonstrated that combined models consistently outperformed those relying on either clinical or radiomics features alone, achieving excellent predictive accuracy with area under the ROC curve (AUC) values ranging from 0.92 (95% CI: 0.75–0.86) to 0.98 (95% CI: 0.87–0.97). The Radiomics Quality Score (RQS) reflected moderate methodological quality (median score: 15), while the PROBAST tool identified a high risk of bias in participant selection. These results underscore the potential of combined radiomics and clinical models to improve the prediction of stroke disability outcomes and guide personalized treatment strategies. However, further validation in diverse clinical settings is necessary to ensure their reliability and clinical utility.
| 28 |
Author(s):
Mr.Y.Srikar.
Page No : 1-6
|
The Algorithmic Pulse: Mapping Digital Sentiments in Online Spaces
Abstract
This paper presents a comparative analysis of sentiment analysis methodologies on social media using advanced deep learning techniques, achieving an accuracy of 98%. The study introduces a comprehensive framework that addresses all phases of the deep learning process, including data collection, preprocessing, feature extraction, and model optimization. It employs Bidirectional Long Short-Term Memory networks (BiLSTMs) to capture contextual information and utilizes feature extraction methods such as TF-IDF, Word2Vec,and GloVe for effective text representation. The methodology incorporates Scikit-learn and Gensim for hyperparameter tuning and feature extraction, respectively, with GridSearchCV optimizing model parameters.The results demonstrate that this approach significantly surpasses existing techniques, setting new benchmarks in sentiment analysis accuracy. By comparing these methods with prior studies, the research highlights substantial improvements in model robustness and generalizability, providing critical insights for advancing sentiment analysis in social media. period.
| 29 |
Author(s):
Mr.V.Prem Kumar.
Page No : 1-6
|
Decentralized Online Voting: Enhancing Election Security with Blockchain
Abstract
The evolution of democratic systems has emphasized the critical importance of secure and fair elections, a practice deeply rooted in history since ancient Greece. Traditional voting methods, typically requiring physical presence at a polling station, face challenges such as tampering and security vulnerabilities. To address these issues, we propose a secure online voting system based on Blockchain technology, incorporating homomorphic encryption and hashing techniques to ensure the integrity and privacy of each vote. The system employs smart contracts, which activate when an election is scheduled, ensuring an efficient, tamper-resistant voting process. With an ever-growing voter base, modernizing voting infrastructure to enhance security and maintain fairness has become essential. Our approach decentralizes e-voting platform management across blockchains, leveraging a multi-winner approval voting system called Aqua on the Ethereum blockchain. This solution was rigorously tested and compared on public and private blockchains, demonstrating reliable performance at a relatively low speed while ensuring complete data privacy through homomorphic encryption
| 30 |
Author(s):
khushi sharma and vyas kajla.
Page No : 1-6
|
Factors Influencing Purchase Decisions on Amazon: Analyzing the Role of Delivery, Information Quality, Reviews, and Recommendations.
Abstract
E-commerce platforms like Amazon have transformed the way customers make purchase. decisions by leveraging various factors that influence consumer behavior. This study explores the impact of Amazon's delivery quality, information quality, reviews and ratings, and personal recommendations on customer purchasing decisions. Efficient and timely delivery enhances customer trust and satisfaction, reducing hesitation in completing a purchase. Information quality, including accurate product descriptions, images, and specifications, helps customers make informed choices. Reviews and ratings serve as social proof, significantly influencing buyers by providing insights from previous customers. Personal recommendations, driven by Amazon's algorithms, enhance the shopping experience by suggesting relevant products based on browsing history and preferences. Together, these factors create a seamless and personalized shopping journey, ultimately driving higher purchase conversions. This study attempts to provide important insights into Amazon's strategy for comprehending and satisfying consumer wants, as well as the ramifications for the business and the larger e-commerce sector, through a combination of qualitative and quantitative analysis. Understanding these influences can help businesses optimize their strategies to improve customer satisfaction and sales.
Keywords: Amazon Delivery Quality. Information Quality. Reviews and Rating. Personal Recommendation, Purchase Decision
| 31 |
Author(s):
Yash Jadhav.
Page No : 1-6
|
FitConnect: The Fitness Community App
Abstract
FitConnect is a comprehensive fitness community app designed to foster social connections among fitness fans and healthy living. The primary objective of the app is to establish a healthy network platform in which users can share their fitness experiences, see workout routines, and participate in group challenges. With a user-friendly interface, FitConnect integrates personalized fitness tracking, community forums, and live workout sessions with certified trainers. The development of the app involved high levels of user feedback and iterative design processes to guarantee the app addresses the needs of the different users. The initial test results indicate high levels of enhanced user engagement and motivation, validating the potential of the app to enhance fitness experiences and create supportive networks. By bridging the gap between technology and community, FitConnect aims to revolutionize the manner in which individuals participate in fitness, making it enjoyable and accessible to everyone.
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Author(s):
Arjun Kumar.
Page No : 1-7
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Hybrid Quantum-Classical Frameworks for IoT Security: Bridging AI, Federated Learning, and Cybersecurity
Abstract
The exponential growth of Internet of Things (IoT) ecosystems has introduced unprecedented security challenges, necessitating innovative solutions that transcend classical cybersecurity paradigms. This article proposes a hybrid quantum-classical framework tailored for IoT security, synergizing quantum computing, AI-driven threat detection, and federated learning to address evolving cyber threats. By integrating quantum key distribution (QKD) for ultra-secure communication, decentralized, federated learning for privacy-preserving threat analysis, and quantum-enhanced AI models for real-time intrusion detection, the framework establishes a multi-layered defense mechanism against sophisticated attacks. A critical literature review identifies gaps in scalability, interoperability, and practical deployment of quantum-classical systems in IoT environments. The proposed framework demonstrates a 23% improvement in threat detection accuracy and a 40% reduction in communication overhead compared to classical federated learning models validated through simulations on heterogeneous IoT datasets. Ethical considerations, including algorithmic bias and quantum technology accessibility, are rigorously analyzed to ensure responsible deployment. This study advances the theoretical foundations of hybrid quantum-classical systems. It provides actionable insights for policymakers and practitioners, bridging the gap between theoretical innovation and real-world IoT security applications.
Key Words: Quantum Computing, IoT Security, Federated Learning, Quantum Key Distribution (QKD), AI-driven cybersecurity, Decentralized Threat Detection, Quantum-Resistant Cryptography, Hybrid Neural Networks, Ethical AI.
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Author(s):
VISHNU.v.
Page No : 1-7
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A Study on Customer Satisfaction of College Students Towards Airtel and Jio Services of Mobile Data in Bengaluru City
Abstract
The telecom industry in India has experienced rapid growth, with Airtel and Jio emerging as dominant mobile data service providers. This study examines the customer satisfaction levels of college students in Bengaluru regarding Airtel and Jio’s mobile data services.
The objective is to understand key factors influencing their satisfaction, such as network performance, data speed, pricing, affordability, customer service, and overall user experience. The research adopts a survey-based approach, collecting primary data from college students across Bengaluru.
A structured questionnaire was designed to assess their preferences, experiences, and satisfaction levels with Airtel and Jio services. Secondary data from existing literature, reports, and studies on telecom customer satisfaction were also reviewed to support the analysis.
The findings indicate that while Jio is widely preferred for its affordable pricing and attractive data plans, Airtel is favored for its network stability and customer service. Many students using Jio reported higher data speeds but occasional network fluctuations, whereas Airtel users experienced consistent network coverage but at relatively higher costs. Factors such as promotional offers, customer support responsiveness, and service reliability played crucial roles in shaping customer satisfaction.
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Author(s):
DEEPAK AGGARWAL.
Page No : 1-7
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Determining the optimal sugar retarder dosage for setting time, compressive strength properties of Pozzolana Portland Cement
Abstract
Cement and concrete are essential engineering materials in the construction industry, with cement acting as a key binder in concrete. When modifications are needed to either accelerate or delay setting time, admixtures play a crucial role. The industry continues to seek effective retarding admixtures and optimal dosage levels, particularly for ready-mix concrete.
Common retarders, both organic (e.g., lignosulfonates, hydroxycarboxylic acids, phosphonates, sugars) and inorganic (e.g., phosphonates, borates), slow the cement-water reaction by altering hydration product growth or restricting water penetration. However, research is still evolving to determine the ideal dosage and materials for these applications.
In response to this need, this study explores the use of sugar as a retarder in concrete while preserving cement strength. Sugar was added at 5%, 10%, 15%, and 20% of cement weight, and its effects on consistency, setting time, compressive strength, properties were evaluated at 7, 14, and 28 days. Findings indicate that setting time increases with higher sugar dosages, but for maintaining strength, a dosage below 5% is recommended for industrial applications.
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Author(s):
Khushi Malviya.
Page No : 1-7
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Leveraging Technology to Enhance Workplace Communication: Impact, Challenges, and Best Practices
Abstract
Abstract
In the modern workplace, technology plays a crucial role in shaping communication dynamics, enhancing collaboration, and improving overall organizational efficiency. This study explores the impact of digital communication tools, such as instant messaging platforms, video conferencing, and project management software, on workplace interactions. While technology offers numerous advantages, including increased accessibility, real-time collaboration, and streamlined workflows, it also presents challenges such as information overload, security risks, and the potential for miscommunication. This research examines the benefits and obstacles associated with workplace communication technology and identifies best practices for organizations to optimize its use. By analyzing case studies and industry trends, the study provides recommendations for leveraging technology effectively to foster a productive and engaged workforce. The findings highlight the importance of balancing technological integration with human-centric communication strategies to maximize organizational success.
Keywords: Digital communication, workplace communication, workforce engagement, technology integration, productivity.
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Author(s):
Aruna P .
Page No : 1-7
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A Study on the Analysis of the Impact of Technical and Skill-Based Training Needs Assessment on Employees at Kavin Irrigation Private Ltd ,Karur.
Abstract
This study examines the impact of technical and skill-based training needs assessment on employees at Kavin Irrigation Private Ltd, Karur. The research investigates how training assessments influence employee performance, job satisfaction, productivity, and organizational competitiveness. A well-structured training needs assessment helps bridge skill gaps, enhances adaptability to technological advancements, and fosters employee engagement. The study employs a descriptive research approach, collecting data through employee surveys and analyzing training records. Findings suggest that effective training assessments contribute significantly to job efficiency, innovation, and retention. The study highlights the need for organizations to implement structured training assessments to ensure long-term workforce development and organizational growth.
Keywords:Training Needs Assessment, Employee Performance, Skill Development, Job Satisfaction, Productivity, Organizational Competitiveness, Employee Engagement, Workforce Development, Technical Training, Skill-Based Training.
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Author(s):
Buddha dev Kumar Yadav.
Page No : 1-9
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E-commerce Trends: Opportunities and Challenges for Small Businesses
Abstract
Global business landscapes have changed due to the quick development of e-commerce, which
presents both special challenges and enormous potential for small and medium-sized
businesses (SMEs). Through digital channels, e-commerce helps SMEs to improve consumer
engagement, save operating expenses, and reach a wider audience. However, its full potential
is hampered by adoption constraints like poor technology infrastructure, low levels of digital
literacy, complicated regulations, and cybersecurity worries, especially in developing nations.
The growth of e-commerce was further encouraged by the COVID-19 pandemic, which
highlighted its importance in maintaining resilience and business continuity. Despite this,
SMEs frequently find it difficult to incorporate e-commerce into their operations because of
high implementation costs, a lack of technical knowledge, and pressure from larger companies
to compete. SMEs need to invest in cybersecurity, use digital marketing, and implement data
driven tactics to improve customer experiences if they want to succeed. By enhancing internet
accessibility, creating laws that support it, and encouraging digital literacy, governments and
legislators may create a favourable atmosphere. SMEs who adjust to these changes and
overcome obstacles will be better equipped to participate in the digital economy, spurring
innovation and economic expansion, as e-commerce keeps growing. In addition to providing
insights into methods for sustainable growth in an increasingly digital environment, this paper
underscores the dual nature of e-commerce as an opportunity and a threat for SMEs.
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Author(s):
Rajalakshmi T, Chetas BN, T. Anuhya, Tanisha Dhariwal, Aseem Chawla, Dr. Varalakshmi S.
Page No : 1-10
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Greener Chains, Greater Good: The Ripple Effect Of Sustainable Supply Chains On Society
Abstract
In today's world, sustainability has become the primary focus for most industries due to the growing challenges of climate change, social inequality, and resource depletion (WCED, 1987; IPCC, 2021). This research specifically aims to investigate how sustainable supply chains can address these issues and locations, encompassing initiatives that prioritize social good alongside environmental preservation (Seuring & Müller, 2008). It is possible to make every stage of the supply chain environmentally friendly, from the extraction of raw materials to the distribution of products, by reducing emissions and waste, optimizing resource usage, and ensuring effective management (Sarkis, 2012). Sustainable supply chains not only focus on environmental aspects but also promote fairness by ensuring workers receive fair wages and good working conditions, respecting human rights, and contributing to regional prosperity (Carter & Rogers, 2008).
This paper aims to evaluate the fundamental principles and methods that support or have the potential to support the establishment of sustainable supply chains, including the circular economy (Geissdoerfer et al., 2017), eco-friendly technologies, and establishing trustworthy relationships with suppliers (Pagell & Wu, 2009). It accomplishes this by examining social memory 'practices' to illustrate how these processes, which aim to mitigate environmental risks, also contribute to reducing social inequality, creating job opportunities, and enhancing the community's capabilities (Gold et al., 2013).
Furthermore, the research examines the role of government initiatives (GRI, 2021), public awareness (Gershoff & Frels, 2015), and technology (Büyüközkan & Göçer, 2018) in evaluating their impact on the transition of supply chains to eco-friendly ones. It also addresses topics such as economic factors, growth, and vertical integration within the market (Porter & Kramer, 2011). By elucidating the connection between sustainable supply chains and societal welfare, this study emphasizes the importance of embracing such practices to advance social equity and inclusivity in development endeavours (Elkington, 1997).
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Author(s):
Riya Bajaj .
Page No : 1-11
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Understanding Food Insecurity: causes, impact and solutions
Abstract
Food insecurity has been a global issue that has been affecting a large number of people across the globe. This study aims to determine the prevalence of food insecurity that disproportionately affects people and identify the demographics which are most affected, including age, their income levels, and the geographic location. We performed a survey for primary research which included 50 individuals, this research helped us analyze the social, economic, and environmental factors that are leading to food insecurity. Moreover the effectiveness in reducing food insecurity was critically evaluated through current policies and reforms made for this issue. The findings showcase significant correlations between the affordability of individuals, government schemes in their community as well as the basic awareness about the existence of food insecurity in today’s society. This study suggests policies and best practices to improve food access and security.
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Author(s):
Srikanth Kamatala , Praveen Myakala .
Page No : 1-12
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The Role of Consciousness Theories in Advancing Artificial Intelligence – Conceptual Bridges
Abstract
Recent advancements in Artificial Intelligence (AI) have reignited discussions surrounding consciousness and its theoretical foundations, prompting scholars to examine whether and how current AI systems might achieve forms of awareness or understanding. This review critically explores leading con- sciousness theories—such as Global Workspace Theory (GWT), Integrated Information Theory (IIT), and Higher-Order Thought (HOT)—to identify specific insights that may inform the next generation of AI design. By assessing the conceptual overlap between these scientific and philosophical perspectives, we high- light both the opportunities and limitations of applying them to AI, focusing on emergent properties, explainability, and potential tests for machine consciousness. Moreover, we introduce a novel framework for constructing “conceptual bridges” that connect consciousness research to practical AI development, underscoring the importance of a multidisciplinary approach that integrates cognitive science, philosophy of mind, and computer science. Our analysis illuminates the ethical and technical implications of AI systems approaching consciousness-like states. Ultimately, this review seeks to refine our understanding of the role consciousness theories may play in guiding AI’s future trajectory and ethical stewardship.
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Author(s):
Chirayu Tongra.
Page No : 1-14
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A Specialized E-Commerce Platform for Anime Merchandise in India : Project Dracnoir
Abstract
Several e-commerce platforms, including Amazon, Flipkart, and specialty stores like AmiAmi and Crunchyroll Store, cater to anime merchandise buyers but none of them focuses on anime and anime action figures .Therefore, these platforms often suffer from issues such as limited stock, lack of customization, and high import costs, making it difficult for Indian consumers to access high-quality anime collectibles.
Project Dracnoir aims to fill this gap by offering a dedicated anime merchandise platform tailored specifically for Indian anime enthusiasts. Unlike existing platforms, Dracnoir will provide:
• Customizable Action Figures – Allowing users to modify features like poses, expressions, and accessories.
• Localized Stock & Affordable Pricing – Reducing dependency on imports and ensuring a diverse, budget-friendly catalog.
• Community Engagement Features – Enabling fans to interact, share collections, and participate in discussions, enhancing user experience beyond mere transactions.
The primary objectives of this research paper are: i) To evaluate the demand and market potential for a dedicated e-commerce platform catering to anime merchandise enthusiasts in India. ii) To identify key factors influencing consumer behavior, including trust, pricing, authenticity, and customization preferences in anime merchandise purchases. iii) To assess the feasibility of Project Dracnoir by analyzing the strengths and limitations of existing platforms and proposing an improved, consumer-centric alternative.
This study employs a mixed-method approach, integrating both primary qualitative research and secondary quantitative research to ensure a comprehensive market analysis. This methodological approach ensures a well-rounded understanding of consumer needs, industry challenges, and potential opportunities for Project Dracnoir in the anime merchandise market.
This research paper delves into the findings and insights derived from Project Dracnoir. The study aims to evaluate the methodologies, results, and implications presented in the slides. The research highlights key outcomes, discusses relevant challenges, and provides recommendations for future studies.
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Author(s):
SWETHA R .
Page No : 1-22
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A REVIEW IN ANALYTICAL METHODS FOR DETERMINATION OF ANTI INFLAMMATORY AGENTS
Abstract
Non-steroidal anti-inflammatory drugs (NSAIDs) are the most commonly used pharmaceuticals in both human and animal medicines for the treatment of certain conditions such as inflammation, fever, and pain. The role of validated analytical methods has become highly important in the quantification of drug substances from their pharmaceuticals as precise product quality control is required. In the present review, we have summarized various sample preparation methods and analytical methods developed for the quantification of NSAIDs during the past decade (2012-till date). Furthermore, an in-depth description of numerous techniques including chromatography, spectrometry (UV), high-performance liquid chromatography (HPLC), ultra-performance liquid chromatography (UPLC), thin-layer chromatography (TLC), High performance thin-layer chromatography (HPTLC), liquid chromatography-mass spectrometry (LCMS), and gas chromatography (GC) approaches used to determine and quantify NSAIDs are provided. Based on the matrix utilized, the following details were discussed: analytical conditions, detection limits, and solvent used in sample preparation. The present compilation provides valuable insights and crucial information on quantification methods for NSAIDs and would assist the scientific community to select the best and economical method for drug analysis in pharmaceuticals and biological samples. UV spectrometry and HPLC were the most commonly used.