Category Archives: Uncategorized

Authors: Mrs. A. Mohanadevi, M. Kabilan, M. Subramaniyan, K.G Sarveshwaran

Abstract: This paper introduces the Teach Mate AI Agent, an intelligent assistant designed to revolutionize the educational workflow by automating time-intensive administrative tasks for educators. The system provides a unified, AI-powered platform that integrates eight comprehensive modules to handle syllabus creation, lesson planning, assessment generation, and resource curation. By leveraging Google's advanced Gemini 1.5 model and a Retrieval-Augmented Generation (RAG) architecture, the agent edagogically sound content while ensuring factual accuracy through user-provided documents. The primary objective is to reduce the administrative burden on educators by up to 90%, thereby enabling them to dedicate more time to student engagement and mentorship. The technology stack includes Python with Streamlit for the front-end, and ChromaDB as the vector database for the RAG system.

DOI: https://doi.org/10.5281/zenodo.17337482

 

Published by: vikaspatanker

Authors: Sanjay Manikandan, Dr. Bhanu Pratap

Abstract: Despite the rapid growth of the cloud kitchen industry in recent years, many businesses continue to face challenges in ensuring consistent customer satisfaction. As customer experience in this model depends entirely on delivery performance, the efficiency of delivery operations has become a critical determinant of success. This study investigates the impact of delivery efficiency on customer satisfaction in cloud kitchens, examining dimensions such as delivery time, order accuracy, food quality, delivery personnel behaviour, app/platform reliability, and cost of delivery. The literature review strongly supports the role of these variables in shaping consumer perceptions and loyalty. A conceptual framework linking delivery efficiency and customer satisfaction is developed from a comprehensive review of prior research, with hypotheses designed to empirically assess these relationships within the Bengaluru market context. Existing studies have not developed a holistic model of customer satisfaction that simultaneously incorporates both operational and technological factors influencing food delivery outcomes. This study advances the literature by proposing an integrated conceptual model that connects operational efficiency with customer experience, offering a structured understanding of how delivery performance affects satisfaction and retention. The framework provides meaningful insights for both scholars and practitioners, demonstrating how timely service, accuracy, and platform reliability collectively enhance the perceived value of cloud kitchen services. It also holds practical significance for managers seeking strategies to improve delivery reliability, optimize resources, and strengthen customer relationships in a highly competitive digital food ecosystem. Overall, this research aims to provide new perspectives on how operational, technological, and human factors jointly drive satisfaction in the food delivery. industry. It emphasizes the importance of aligning efficiency with service quality to sustain long-term competitiveness. The findings can help cloud kitchen operators design delivery systems that reduce operational lapses, improve reliability, and build stronger customer trust and loyalty.

Published by: vikaspatanker

Authors: J Shiva Kumar

Abstract: The growing demand for urban flyovers has intensified the need to evaluate their economic and environmental sustainability. This paper presents a comprehensive sustainability assessment of a reinforced concrete (RCC) flyover using Life Cycle Cost Analysis (LCCA) and Carbon Footprint Analysis (CFA). The study covers all major life-cycle phases— construction, operation, maintenance, and end-of-life—using a cradle-to-grave approach. Material quantities were obtained from STAAD.Pro modeling, while emission factors were derived from the Indian Life Cycle Inventory Database. The results indicate that cement and steel contribute more than 70% of total CO₂ emissions, while maintenance activities account for 25–30% of life-cycle costs. Incorporating 30% Ground Granulated Blast Furnace Slag (GGBS) replacement in concrete reduced total emissions by 22% and costs by 11%. The proposed framework offers a quantitative basis for integrating sustainability considerations into future flyover design and construction.

 

 

Published by: vikaspatanker

Authors: Sanket L. Jaiswal, Prof .D. G. Ingale, Dr. A. P. Jadhav, Prof. S. V. Raut, Prof .S. V. Athawale, Dr.D.S.Kalyankar, Prof. R. N. Solanke

Abstract: In today’s digital world, cybersecurity is more important than ever for individuals, businesses, and governments. To protect networks from attacks, security experts often use footprinting and scanning, which are part of the first step in ethical hacking. Footprinting means collecting information about a target system, while scanning involves checking the system for active devices, open ports, and possible weaknesses. This paper explains different techniques and tools for footprinting and scanning, discusses their importance in cybersecurity, and proposes a framework to make these processes more efficient and safe. Ethical and systematic reconnaissance can help organizations strengthen their security and prevent attacks before they happen.

DOI: https://doi.org/10.5281/zenodo.17312928

 

Published by: vikaspatanker

Authors: Abhijit Kakoty

Abstract: This paper explores the core conflicts between blockchain technology and the Digital Personal Data Protection (DPDP) Act, 2023, examines the challenges that may arise during blockchain-based implementations, and considers the potential optimistic outcomes emerging from their interaction. Regular challenges faced during implementation of blockchain based application are well documented while the challenges that can be seen after DPDP act comes in to force, such as evolving interpretations of joint controllership and new advisory opinions. This paper aims to explore the synergies between blockchain technology and compliance with the Digital Personal Data Protection (DPDP) Act. By identifying key areas where actionable frameworks—leveraging emerging technologies such as chameleon hashes and zero-knowledge proofs—can be applied, it offers a forward-looking perspective on how blockchain systems can be aligned with the principles and requirements of the DPDP Act. It further contributes a strategic theoretical pathway for aligning decentralized architectures with evolving data protection norms.

DOI: https://doi.org/10.5281/zenodo.17310368

 

Published by: vikaspatanker

Authors: Mrs.R.Aruna, AP / IT, I.Hari Haran, P.A Manikandan, J.Mohamed Farees

Abstract: Effective communication between sign language users and non-signers remains a significant challenge in education, workplaces, and daily life. To address this issue, a Bi-Directional Sign Language Translation System is proposed, leveraging advanced computer vision techniques (OpenCV, Mediapipe), deep learning frameworks (TensorFlow/Keras), and Natural Language Processing (NLP) algorithms. The system provides real-time translation of sign gestures into text or speech, and conversely, converts text or voice into dynamic animated sign language. Furthermore, multilingual Text-to Speech (TTS) integration ensures clear and natural voice assistance, enhancing accessibility across diverse communities. Implemented with scalable technologies such as Python, Flask, and React.js, the platform ensures low latency, high performance, and ease of use. By combining gesture recognition, neural networks, and speech synthesis, this system promotes inclusivity and empowers individuals with hearing or speech impairments to participate fully in modern communication environments.

DOI: http://doi.org/10.5281/zenodo.17309992

Published by: vikaspatanker

Authors: Abhishek, Nisha, Suman Chandila

Abstract: Java remains one of the most widely used programming languages in modern software development due to its platform independence, robust frameworks, and extensive ecosystem. However, the prevalence of Java in both web and enterprise applications also makes it a high-value target for cyberattacks. This paper provides an in-depth analysis of the most critical security vulnerabilities inherent in Java applications, with a focus on common attack vectors such as injection attacks, insecure deserialization, and cross-site scripting (XSS). It also delves into the growing threat of vulnerabilities in third-party libraries, remote code execution (RCE), and insufficient authentication mechanisms. Through a detailed examination of real-world incidents, including notable CVEs such as the Log4j vulnerability (CVE-2021-44228) and the Apache Struts exploit (CVE-2017-5638), the study highlights patterns and trends in the exploitation of Java-based systems. This research identifies the root causes of these vulnerabilities, emphasizing the importance of secure coding practices, proactive patch management, and the implementation of robust security mechanisms like secure authentication and encryption. Furthermore, the paper explores effective mitigation strategies for developers, including the use of security testing tools, static and dynamic application security testing (SAST/DAST), and secure software development life cycle (SDLC) integration. Recommendations are provided for improving security posture at both the code and architectural levels, offering best practices for reducing exposure to attacks. By addressing emerging threats, such as the rise of cloud-based Java applications and the need for post-quantum cryptography, this paper provides valuable insights for securing Java applications against present and future security challenges

DOI: http://doi.org/10.5281/zenodo.17310113

Published by: vikaspatanker

Authors: Ritu Mewade, S.S. Kushwaha

Abstract: Soil stabilization has become an increasingly vital aspect in modern Civil Engineering. Stabilizing soils using Cement, Fly-Ash, and GGBS offers an affordable and effective solution, applicable to a variety of soil types. Black Cotton soils, known for significant volume fluctuations with changes in moisture content, expand when moisture is added and contract when dried. By incorporating these materials, the stability and engineering properties of such soils can be enhanced. This project aims to evaluate the benefits of stabilizing Black Cotton soil with Cement, Fly-Ash, and GGBS. The use of industrial by-products like Fly-Ash and GGBS not only strengthens the soil but also reduces costs. The effectiveness of these stabilizers will be assessed through Standard and Modified Proctor tests. A comparative analysis of the test results will determine the optimal quantities of these materials needed to achieve maximum soil stability.

DOI: https://doi.org/10.5281/zenodo.17304393

Published by: vikaspatanker

Authors: Kunal Kartik

Abstract: Training convolutional neural networks (CNNs) from scratch using small data sets tend to suffer from over fitting with poor generalization therefore making the models to perform poorly in real world applications. This study examines the effectiveness of transfer learning through the exploitation of pre-trained CNN models and tuning the same to perform classification based on limited data. We measure the performance of popular architectures, including VGG16, ResNet50, and InceptionV3 on several small-scale datasets, including medical imaging and fine-grained object recognition. Systematic layer freezing, targeted fine-tuning, and data augmentation as a part of our methodology are aimed at increasing generalization. As the result shows, training transfer beats training from scratch significantly with fine-tuned models managing to gain up to 25% more accuracy and increased robustness over validation folds. Competitive results were obtained with feature extraction where little fine-tuning was done, which explains its usefulness with limited computational resources. The findings reiterate the value of transfer learning as an applicable solution to small datasets issues, and peers into the best strategies of fine-tuning CNN for data sparse environments.

Published by: vikaspatanker

Authors: Ritu Mewade, S.S. Kushwaha

Abstract: Soil stabilization has become an increasingly vital aspect in modern Civil Engineering. Stabilizing soils using Cement, Fly-Ash, and GGBS offers an affordable and effective solution, applicable to a variety of soil types. Black Cotton soils, known for significant volume fluctuations with changes in moisture content, expand when moisture is added and contract when dried. By incorporating these materials, the stability and engineering properties of such soils can be enhanced. This project aims to evaluate the benefits of stabilizing Black Cotton soil with Cement, Fly-Ash, and GGBS. The use of industrial by-products like Fly-Ash and GGBS not only strengthens the soil but also reduces costs. The effectiveness of these stabilizers will be assessed through Standard and Modified Proctor tests. A comparative analysis of the test results will determine the optimal quantities of these materials needed to achieve maximum soil stability

DOI: http://doi.org/10.5281/zenodo.17304393

Published by: vikaspatanker