| 1 |
Author(s):
Dr. Samantha N. Friar.
Page No : 1-2
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The Significance of Uplifting Faculty
Abstract
Faculty lead with vision and teach with compassion. Faculty traditionally design their courses through innovation, research, theory and practice to transform students learning experiences through a shared learning approach. Institutions of higher education hire a collective body of faculty that have a shared vision of teaching and learning, through the universities mission or core values. The recognition of faculty is momentous as it leads to faculty retention among full-time faculty and adjuncts. When Institutions uplift faculty, this creates spaces of value, support, and motivation that transcend in university classrooms that not only empower faculty, but this behavior also motivates students.
| 2 |
Author(s):
SAI VAMSHI, K. VIJAY, SAIF KHALIQ, ANITHA, SRAVAN KUMAR .
Page No : 1-3
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ONLINE BLOOD DONOR
Abstract
Online Blood Donation Notify and Response System is a web and mobile application that works to connect donors and receivers of blood in real time depending on geographical location. With the integration of GPS tracking, immediate notification, and safe data management, the system cuts down response time in emergency situations considerably. Compared to conventional blood donation systems, it facilitates effective matching between donors and receivers and also offers an emergency SOS.
The project uses blockchain for authentication of donors and Firebase for real-time data storage. Future improvements involve AI-based donor matching, integration with hospitals, and support for multiple languages for broader accessibility.
Educational Resources: To dispel myths and educate donors, the app includes a repository of informative articles and videos about the blood donation process, the impact of donations, and the various types of donations possible, such as whole blood, platelets, or plasma. Feedback and Support: After each donation, the ability to provide feedback through the app can be invaluable for blood centers to improve the donor experience.
| 3 |
Author(s):
NIKHIL KUMAR.
Page No : 1-3
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VISAGE ANALYSE APPEARANCE
Abstract
Traditional student attendance methods, such as
roll calls and sign-in sheets, are time-consuming, error-prone,
and vulnerable to proxy attendance. To address these issues,
this study proposes an Automated Attendance Management
System (AAMS) that integrates CCTV cameras, facial
recognition, and GPS verification. The system captures
students' facial images in real-time using classroom CCTV
cameras without manual intervention, ensuring seamless and
continuous attendance monitoring. Face detection is performed
using a Haar Cascaded Classifier, and recognition is achieved
through the FaceNet model, which compares captured
embeddings with a pre-registered student database.
Additionally, GPS-based location verification confirms that
students are within the classroom’s geofenced area, preventing
fraudulent attendance. This dual-verification system offers a
secure, accurate, and efficient alternative to traditional
attendance methods.
| 4 |
Author(s):
Suvarna Ranjeet Jagtap.
Page No : 1-3
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Applications of Artificial Intelligence in Indian Defence Forces: A Literature Review
Abstract
The integration of Artificial Intelligence (AI) in national security has defined global military capabilities. For India, the AI offers a strategic opportunity to increase operational efficiency, to automate decision making, automate cyber defense and modernize monitoring systems. This literature review analyzes six leading studies and policy documents investigating India's institutional efforts - especially by Defense AI Council (DAIC), Defense AI Project Agency (DAIPA), DRDO, CAIR and on ISR, autonomous systems, cyber warfare, logistics and command framework. India's moral approach, which lies in principles such as a just war tradition, especially in the deadly scenarios, emphasizes human monitoring in A-S) war. However, issues such as policy fragmentation and unclear operating structure hinders a Comprehensive or cohesive. While remarkable progress has been made, it is necessary for an integrated national AI strategy, cross-sector cooperation, and morally grounded innovation India to fully exploit AI's capacity and protect his strategic autonomy in a developed global security scenario.
| 5 |
Author(s):
Dr.P.Kowsalya, Dr.M.Jamal Mohamed Zubair, Dr. S. Umamaheswari.
Page No : 1-3
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THE INFLUENCE OF BEHAVIORAL AND DIGITAL FACTORS ON INSURANCE PLAN CHOICES: EVIDENCE FROM POLICYHOLDERS
Abstract
In today’s customer-focused insurance industry, understanding what drives policyholder choices is essential. This study looks at how psychological, emotional, and digital factors affect individuals when they choose insurance plans. Using a survey of 108 policyholders, the research applies chi-square tests, ANOVA, and correlation analyses to find out how variables like risk perception, trust, social influence, and digital access shape decision-making. The key findings suggest that while traditional demographics matter somewhat, modern consumers depend more on digital platforms, peer opinions, and the simplicity of claim processes. This research provides practical insights for insurers to create user-friendly insurance products and interfaces that match customer behaviour.
| 6 |
Author(s):
Abhijit Paul, Chanchal Dutta, Abhipray Halder, Animesh Das, Lohit Sagar Manna, Gargee Sarkar.
Page No : 1-3
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MedFreez: An IoT-Enabled Smart Freezer System for Elderly Medication Management
Abstract
The aging population faces increasing challenges in managing medication schedules, especially when it comes to drugs requiring strict temperature and humidity control. MedFreez is an innovative IoT-enabled smart freezer system designed to ensure the safe storage and timely administration of temperature-sensitive medications for elderly individuals. This system combines intelligent environmental control with real-time monitoring, ensuring that medications such as insulin, certain antibiotics, and biologics remain within prescribed storage conditions.
MedFreez utilizes integrated sensors to continuously track temperature and humidity levels within the storage compartment. When deviations occur, the system automatically adjusts environmental parameters and sends alerts to caregivers or family members via a mobile application. The system also features automated reminders, voice alerts, and cloud-based logs to promote adherence to medication schedules and reduce the risk of missed or improperly stored doses.
Built with user-friendly interfaces and remote access functionality, MedFreez offers a seamless experience for both elderly users and their caregivers. Its modular design supports scalability and easy integration into home or institutional healthcare environments. By merging IoT technologies with smart storage solutions, MedFreez represents a significant step toward safer, more reliable elderly medication management, enhancing both health outcomes and quality of life for aging individuals.
| 7 |
Author(s):
Ms.POOVITHA B, Ms.SUGANYA S.
Page No : 1-4
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A Study on Workforce Retention Strategies Impact on Employee Attrition Rate at the Workplace
Abstract
Employee retention is a major challenge faced by organizations, especially in high-turnover industries like sales. This study explores the effectiveness of various workforce retention
strategies—such as job satisfaction, job stress management, work-life balance, and compensation— in reducing employee attrition. Using a quantitative research approach, data was collected through structured surveys. The findings provide insights into how organizations can align retention strategies with workforce expectations, thus enhancing employee engagement and minimizing turnover.
| 8 |
Author(s):
Zeshaan Tahir, Raja Rizwan Gowhar, Dr. Mohammad Iqbal Dar..
Page No : 1-4
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The Renewed Interest in Moon Landings.
Abstract
The Moon, once the central focus of early space exploration, has re-emerged as a primary destination in global space agendas. After decades of relative inactivity following the Apollo missions, a renewed interest in Moon landings has gained momentum among spacefaring nations and private enterprises. This revival is driven by advancements in space technology, the potential for lunar resource extraction, scientific curiosity, and the strategic value of the Moon as a gateway to deeper space missions, including those to Mars. Programs like NASA’s Artemis, China’s Chang’e missions, and India's Chandrayaan series highlight the international commitment to re-exploring the lunar surface. Additionally, the growing involvement of commercial players has transformed Moon exploration from a purely governmental pursuit into a collaborative, global endeavours. This paper examines the scientific, economic, geopolitical, and cultural factors contributing to this resurgence and explores how renewed Moon landings may shape the future of human space exploration.
| 9 |
Author(s):
Rahul Chadhokar , Rahul Samre, Pradeep Singh Hada, Kapil Patodi, Manoj Raut, Rizwan Sheikh, Jayant Khede.
Page No : 1-4
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A Review on Muffler with Resonator Configuration to Reduce Low Frequency Noise
Abstract
High noise levels occur during exhaust noise from vehicle engines and impression of noise from surrounding. The sound waves strikes on the surface of the tube shaped fairing and couples with the methods of the system causing vibration. In this way the issue of noise inside the fairing has turned out to be much progressively essential. Nowadays, Resonators are used widely to reduce low frequency noise of engine exhaust. Resonator has unique characteristic of attenuate noise without any absorptive material, which make it highly useful for automobile, aerospace and some other industrial application. Newly designed resonator array have been utilized to acquire broad band transmission loss in the generally low frequency scope of exhaust system. The transmission loss qualities are controlled by the acoustics impedance attributes of the resonators. In the paper, review study has been done for comparison between the transmission losses of silencer of the engine using resonators with different configuration. In this study, suggestion is made on the basis of improved noise attenuation performance of the resonator at low frequency with limited space. Also comparative study of transmission characteristics has been done on the basis of acoustics impedance characteristics of resonators.
| 10 |
Author(s):
Dr. Kshamaheeta Trivedi.
Page No : 1-6
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The Role of AI in Optimizing Supply Chain Management for Sustainable Fashion Retail
Abstract
The fashion industry plays a pivotal role in the global economy, but it's facing increasing pressure to embrace sustainable practices due to growing consumer insistence on environmental responsibility. Managing the supply chain in fashion is complex, involving numerous stakeholders and processes, which calls for innovative approaches to achieve sustainability. Artificial Intelligence (AI) offers a robust solution for optimizing these supply chains, allowing businesses to improve efficiency, reduce waste, and promote ethical practices.
In this investigation, we delve into the role of AI in revolutionizing supply chain management for sustainable fashion retail. We examine how AI technologies are deployed at various supply chain stages, from raw material procurement to production, logistics, and retail. By analysing case studies and industry practices, we evaluate the impact of AI-driven solutions on sustainability objectives, such as reducing carbon footprints, enhancing resource utilization, and ensuring ethical sourcing.
Our findings reveal that AI can significantly streamline supply chain operations, providing real- time insights and enabling data-driven decision-making. However, integrating AI also poses challenges such as high implementation costs and the need for advanced technical expertise. This paper aims to provide a comprehensive overview of the benefits, challenges, and prospects of AI in sustainable fashion supply chains, underscoring its potential to propel the industry towards a more sustainable future.
| 11 |
Author(s):
Mr. R. Tamilselvan, Dr. A. Valarmathi, Dr. A. V. Hariharan.
Page No : 1-6
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Video Advertising Impact on Lead Generation Performance: An Empirical Analysis of Meta Platform Campaigns
Abstract
This study examines the impact of video advertisements on lead generation performance within Meta platform campaigns, analyzing key performance indicators that influence conversion efficiency and cost-effectiveness.A quantitative analysis was conducted using secondary data from 50 Meta video ad campaigns across various industries between 2022-2024. Statistical analyses including descriptive statistics, correlation analysis, and regression modeling were performed using SPSS and Power BI to examine relationships between video ad metrics and lead generation outcomes.The analysis revealed significant variations in Cost Per Result (CPR) ranging from ₹14.21 to ₹347.63, with Cost Per 1000 Impressions (CPM) showing the strongest correlation with CPR (r = 0.722, p < 0.001). Cost Per Click (CPC) demonstrated a moderate positive correlation (r = 0.590, p = 0.002), while Click-Through Rate (CTR) showed minimal impact on lead generation costs. The regression model explained 84.1% of CPR variation, with CPM and CPC as primary predictors.The study relies exclusively on secondary data from Meta Ads Manager, limiting insights into qualitative factors such as user emotions and satisfaction. The analysis is confined to video ad formats within the Meta ecosystem.Digital marketers can optimize lead generation by focusing on CPM and CPC optimization, implementing mobile-first video strategies, and utilizing data-driven approaches for campaign refinement. Short-form, emotionally engaging videos with clear calls-to-action demonstrate superior performance.This research provides empirical evidence for the effectiveness of video advertising on Meta platforms, offering practical frameworks for optimizing lead generation campaigns through statistical analysis of key performance metrics.
| 12 |
Author(s):
Banothu Anitha, Mr. B. Ravindar Reddy.
Page No : 1-7
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AUTOMATED IDENTIFICATION OF BONE TUMORS IN X-RAY IMAGES USING ADVANCED MACHINE LEARNING
Abstract
Bone sarcoma, usually known as bone cancer, is a rare type of cancer that refers to an abnormal growth of tissue inside the bone, with high probability to spread to other parts of the body. It commonly affects children, teenagers and young adults. As for all other types of cancer (breast, lung, prostate, stomach, brain...), there are no identified causes for bone cancer. Therefore, only an early detection could help increasing the chances to survive a bone sarcoma. The association of medical imaging modalities (such as X-ray, MRI and CT imaging) with image processing techniques can provide more accuracy while detection eventual bone tumors. In this paper, we introduced a new method for sarcoma diagnosis, using a Generalized Gaussian Density analysis (GGD) For future extraction and convolutional neural network (CNN) classification model. The process starts by generating sub-images of a given size from the processed bone MRI and conducting a GGD analysis on each of the sub-images. Then, a region of interest (ROI) corresponding to the sub-images with the highest value of the shape parameter α is selected from the original MRI. The classification performance by CNN model and gets good results in terms of accuracy, precision, recall, and F1-score.
| 13 |
Author(s):
Chirayu Tongra, Ruchi Gaur.
Page No : 1-8
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Dron-Acharya: Reimagining the Guru-Shishya Tradition in a Virtual Era
Abstract
In an era of digital acceleration and increasing disconnection from traditional spiritual practices, there is a growing demand for culturally rooted and accessible spiritual guidance. This research introduces Dron-Acharya—a virtual darshan and consultation platform that reimagines the Indian guru-shishya tradition for a tech-savvy, global audience. Unlike mainstream mindfulness apps like Calm or Headspace, Dron-Acharya emphasizes personalized, Vedic-based spiritual experiences.
The study aims to design a platform that combines ancient spiritual wisdom with modern usability, addressing key user needs such as authenticity, personalization, intuitive design, and access to knowledgeable gurus. Using a mixed-method approach—surveys, interviews, competitor analysis, and persona development—the project identifies target users including urban professionals, Gen Z seekers, Indian diaspora, and elderly individuals seeking digital alternatives to physical ashrams.
The persona of Mayank Sharma, a 35-year-old professional, informed the design process, which followed the Double Diamond framework (Discover, Define, Develop, Deliver). Core features include AI-powered consultations, virtual blessings, interactive guru profiles, and a culturally immersive interface. Usability testing guided refinements such as multilingual support and audio-based navigation to ensure greater inclusivity.
While outcomes suggest strong potential for digital platforms to enrich spiritual engagement, this research primarily explores how tradition and technology can meaningfully intersect.
This study will benefit designers, spiritual organizations, and digital product developers by offering a framework to create authentic, accessible spiritual tech—serving users seeking depth, connection, and continuity in their spiritual journeys.
| 14 |
Author(s):
Kodam Swathi.
Page No : 1-8
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VIDEO ENCRYPTION FOR CLOUD DATA PROTECTION
Abstract
With the exponential growth in video data across surveillance, digital communication, social media, and cloud-based storage, securing visual content has become a critical challenge. According to recent reports, over 80% of global internet traffic consists of video, making it a major target for unauthorized access, tampering, and data breaches. Traditional video security methods rely heavily on full-stream encryption, which is computationally expensive and often unsuitable for lightweight or real-time applications. In many manual systems, frame-level security is either ignored or implemented using weak methods such as basic LSB (Least Significant Bit) manipulation without any noise handling or robust decryption validation. These manual techniques, while simple, are highly vulnerable to attacks, offer no resistance to compression or noise, and cannot be reversed accurately in practical transmission scenarios. This gap has motivated the need for a secure, lightweight, and frame-level encryption method that can preserve content integrity while ensuring confidentiality. The objective of this research is to evaluate an existing LSB-based decryption model and propose a novel scrambling-based encryption technique for video frames. The existing model modifies the least significant bit of each pixel to embed data, but lacks robustness when exposed to distortions or data loss. The proposed system introduces a deterministic scrambling mechanism where pixel positions are randomized using a pseudorandom index generated from a fixed seed, allowing for precise encryption and decryption. Additionally, controlled probabilistic noise is injected during preprocessing to simulate real-world transmission environments, making the evaluation more rigorous. Comparative analysis based on PSNR, MSE, and SSIM shows that the proposed method significantly improves visual obfuscation while preserving decryptability. This research not only enhances video content protection at the frame level but also paves the way for secure deployment in resource-constrained environments such as mobile devices, smart surveillance, and low-power IoT platforms.
| 15 |
Author(s):
Usha.M, Ramkumar.N.
Page No : 1-9
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From Culture to Output: Unraveling the Impact of Job Satisfaction on Performance in Indian Textile Firms
Abstract
This study examines how organizational culture and job satisfaction collectively influence employee performance in India’s textile industry. Drawing on data from 167 employees selected through stratified random sampling, the research employs a descriptive design supported by correlation analysis, ANOVA, and regression techniques. The findings reveal a strong positive relationship between organizational culture and employee performance, with job satisfaction emerging as a crucial mediating factor. Notably, gender and age significantly influenced performance outcomes, while educational qualifications had minimal impact. These insights highlight the strategic importance of nurturing a collaborative, inclusive culture and fostering job satisfaction to optimize workforce performance in labor-intensive sectors like textiles. The study contributes to the growing discourse on human-centric management practices in emerging economies and offers practical implications for industry leaders and policymakers.
| 16 |
Author(s):
Afzal Husain .
Page No : 1-17
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Customer Retention Strategies in the Telecom Industry Case Study: Jio’s low-cost strategy in the Indian market Company: Reliance Jio
Abstract
In the highly competitive and rapidly evolving telecom industry, retaining existing customers has become more critical than ever. As telecom markets approach saturation, acquiring new users becomes increasingly expensive, shifting strategic focus toward customer retention. This research investigates the key factors that influence customer retention in the Indian telecom sector and evaluates the effectiveness of strategies employed by telecom service providers to reduce churn and build long-term customer loyalty.
The study employs a mixed-method approach, primarily guided by exploratory and descriptive research designs. Data was collected through a self-administered online survey targeting active telecom users across different regions and demographic groups in India. The questionnaire focused on service quality, pricing, customer support, digital engagement, loyalty programs, and overall customer experience. Hypotheses were developed to examine relationships between these variables and retention outcomes. Additionally, a case study on Jio’s disruptive low-cost strategy provided insights into how pricing and innovation influence loyalty at scale.
Key findings suggest that service quality, affordability, transparent pricing, and proactive customer support significantly enhance customer satisfaction and retention. The study also reveals that customers engaged through loyalty programs and personalized digital interactions are less likely to switch providers. However, poor complaint resolution and inconsistent network performance remain major triggers for churn. Predictive analytics and CRM tools were found to have a growing impact on improving retention rates by enabling proactive issue resolution and personalized offerings.
Despite its valuable insights, the research acknowledges limitations such as sample size constraints, potential response bias, and the urban-centric nature of the data. Nonetheless, it contributes meaningfully to both academic literature and industry practice by identifying actionable strategies that telecom operators can adopt to improve customer loyalty and long term profitability.
The report concludes with managerial recommendations and directions for future research, emphasizing the importance of customer-centric innovation and continuous service improvement in sustaining competitive advantage in the telecom industry.