Category Archives: Uncategorized

Sriram Ghanta
Affiliation	Senior Java Full Stack Developer
Email-Id:	shriram.gh@gmail.com
SUMMARY:- Results-oriented Senior Java Full Stack Developer with over 14 years of experience in designing, developing, and integrating enterprise-level applications across Retail, Finance, Healthcare, and Entertainment domains. Expertise in Java, Spring Boot, Microservices, RESTful APIs, and modern front-end technologies such as Angular. Proven ability to build scalable, cloud-native applications using AWS and containerized environments. Strong experience in system design, performance optimization, and implementing resilient architectures. Adept at working in Agile environments and delivering high-quality software solutions

Published by: vikaspatanker

Authors: Pranali Gavhane, Sapna Gaikwad, Sumit Ghogare, Abhay Ghalke

Abstract: This project proposes an Arduino-based automatic water distribution system designed to optimize water supply, minimize wastage, and reduce manual intervention in domestic or municipal contexts. Utilizing an Arduino microcontroller (such as Uno or Mega) as the central processing unit, the system integrates sensors to monitor water levels, flow rates, or soil moisture.

 

 

Published by: vikaspatanker

Authors: Pratik Bhosale, Vaishnavi Rathod, Kajal Zore, Parshuram Baile, Prof.Savita Biradar

Abstract: College Sports Management System is a modern web application designed to manage and organize sports activities within a college efficiently. In many educational institutions, sports events such as tournaments, team registrations, and match schedules are still managed manually using paper records or spreadsheets. This traditional approach can lead to errors, data loss, and difficulties in managing large amounts of information. To overcome these challenges, the College Sports Management System provides a digital platform that automates and simplifies the management of sports-related activities. The system is developed using React JS for the frontend and Python for the backend, providing a fast, interactive, and scalable web application. React JS helps in creating a dynamic and user-friendly interface where users can easily navigate through different sections such as sports events, match schedules, and team details. The backend developed using Python handles the application logic, data processing, and communication between the frontend and the database. This architecture ensures better performance, maintainability, and scalability of the system. The main objective of this system is to provide a centralized platform where administrators can efficiently manage players, teams, tournaments, and match schedules. The system includes several modules such as Admin Management, Player Registration, Team Management, Tournament Scheduling, and Match Result Management. Through the admin panel, administrators can add and manage player information, create teams, organize tournaments, schedule matches, and update match results. On the other hand, students and users can view sports event details, match schedules, and tournament results through the web interface. By implementing the College Sports Management System, the process of organizing and managing sports activities becomes more efficient and structured. The system reduces manual workload, improves data accuracy, and ensures that sports information is easily accessible. The use of modern web technologies like React JS and Python allows the application to provide better user experience, faster data handling, and improved system performance. In conclusion, the College Sports Management System offers an effective digital solution for managing sports events in colleges. It enhances the overall organization of sports activities and provides a convenient platform for administrators and students to access sports-related information. The system can also be extended in the future with additional features such as online player registration, live match score updates, and mobile application integration.

Published by: vikaspatanker

Authors: Prof. Atish Shriniwar, Ms.Vaishnavi Tikone, Ms.Akanksha Sawant, Prof. Badrinath Bulepatil

Abstract: The rapid expansion of India’s digital governance ecosystem under the Digital India initiative has positioned e- governance portals as critical platforms for delivering public services. However, the effectiveness of these platforms depends not only on service availability but also on ensuring accessibility, usability, and reliable performance. This study evaluates selected Indian e-governance portals to identify gaps affecting inclusive digital access. A mixed-method approach was adopted, combining automated accessibility testing based on WCAG 2.1 Level AA standards with a user perception survey conducted among 44 participants. The findings reveal a significant “Accessibility–Usability Gap.” Although most respondents were digitally proficient young adults, only 13.6% reported being very satisfied with their overall experience. Approximately 50% identified technical glitches and poor system performance as primary barriers, while 45.5% reported inadequate mobile compatibility. Furthermore, 27.3% indicated that accessibility support features, such as screen reader compatibility, were insufficient. The study concludes that digital accessibility must extend beyond technical compliance to incorporate mobile-first design principles, improved system performance, and user-centered interface development. Implementing these improvements can foster a more inclusive, efficient, and equitable digital governance framework in India.

DOI: https://doi.org/10.5281/zenodo.18898514

Published by: vikaspatanker

Authors: Sagar Kumar

Abstract: The rapid digitalization of commerce has significantly transformed how local businesses connect with customers. Small and medium enterprises (SMEs), particularly in developing economies like India, face challenges related to visibility, discoverability, and digital presence. Local business directories have emerged as cost-effective digital tools that bridge the gap between consumers and businesses. This research examines the role of online local business directories in improving market accessibility and digital inclusion, with a case study of IndiaBusinessTree (IBT), a free business listing and local directory platform in India. The study evaluates how structured business listings, search optimization, and location-based categorization enhance business exposure and customer engagement. Using qualitative analysis and platform-based observations, the paper highlights the impact of digital directories on customer acquisition, search engine visibility, and trust-building. The findings suggest that local directories significantly contribute to MSME growth by enabling affordable digital marketing, improving local search rankings, and fostering regional economic development. The study concludes that digital business directories are critical components of the modern digital ecosystem, especially in emerging markets.

DOI: https://doi.org/10.5281/zenodo.19093522

 

Published by: vikaspatanker

Authors: Surbhi Sahu

Abstract: In modern digital environments, sensitive information is constantly transmitted across networks and stored in distributed systems such as databases, cloud infrastructures, and storage devices. The increasing number of cyber threats such as data breaches, interception attacks, and unauthorized access has made data security a major concern for organizations and individuals. This research paper examines techniques used to secure data during transmission and storage, including encryption algorithms, secure communication protocols, and access control mechanisms. Symmetric and asymmetric cryptographic methods such as AES, DES, RSA, and ECC are analyzed to understand their effectiveness in protecting data confidentiality and integrity. Additionally, modern security approaches such as homomorphic encryption, blockchain-based storage, and quantum‑resistant cryptography are discussed. The paper concludes that a combination of encryption techniques, secure protocols, and strong authentication systems is essential for protecting sensitive information in modern computing systems.

DOI: https://doi.org/10.5281/zenodo.18888623

Published by: vikaspatanker

Authors: Deepak Tomar, Kismat Chhillar, Sanchit Agarwal

Abstract: This paper addresses the critical challenge of energy efficiency in distributed Internet of Things (IoT) networks through the application of federated learning-based energy management techniques tailored for green computing. With the exponential growth of connected devices, traditional centralized processing poses significant privacy, communication and energy consumption issues. Federated learning offers a decentralized paradigm that preserves user privacy while enabling collective model training across heterogeneous IoT nodes. This work proposes novel energy-aware federated learning algorithms that optimize communication and computation costs by leveraging techniques such as adaptive model updates, quantization, and device participation scheduling. The proposed framework integrates trust mechanisms to ensure secure and reliable cooperation among devices, thereby enhancing sustainability and network longevity. Experimental evaluations demonstrate significant reductions in energy consumption without compromising learning accuracy, highlighting the potential for real-world implementation in diverse IoT environments. The findings underscore the importance of leveraging collaborative intelligence for sustainable, green computing infrastructures, paving the way for future research in scalable, energy-efficient federated learning applications within IoT networks.

 

 

Published by: vikaspatanker

Authors: Aaditya Duche, Raviraj Deore, Sanskar Dalvi, Swapnil Paik, Prof. R. B. Shinde

Abstract: The Smart Classroom System using IoT modernizes the conventional education environment by integrating automation, sensing, and communication technologies. The system implements automatic student attendance using face recognition, smart control of lighting and fans, environmental monitoring, and remote data access through cloud platforms. A Raspberry Pi 3B single board computer and Pi camera module continuously monitor the classroom. During enrollment, facial images of each student are captured and stored in a database. During lecture hours, the system detects faces from live video frames and compares them with the stored dataset using OpenCV and the face_recognition library. When a match is confirmed, attendance is recorded with date and time. A 16×2 LCD display shows confirmation and a buzzer provides audio indication. The system eliminates proxy attendance, reduces manual effort, and improves accuracy, demonstrating the practical value of embedded systems and computer vision in smart educational infrastructure

Published by: vikaspatanker

Authors: Siddhi Ekawade, Apurva Jate, Arya Kamble, Sharvari Kate, Prof.Pradnya Satpute

Abstract: Artificial Intelligence has made it easy to create realistic images, videos, and texts. These technologies have been misused to create deepfakes and online scams, which can lead to the spread of misinformation, financial scams, and cybersecurity attacks. It is hard to detect such content by human beings, as it is time-consuming. Hence, there is a need to develop an automated detection system for AI-generated content. The proposed project aims to develop a multimodal AI-generated content detection system that can analyze images, videos, and texts to detect potentially fake or scam content. The system can detect deepfakes in images and videos using a Convolutional Neural Network (CNN) model, and it can also analyze the text messages sent by the user to detect scams using a machine learning-based approach. The application has been developed as a web application using the Flask framework in Python. This processed media is analyzed, and the important features are identified, providing a probability score on whether the media is real or fake. The output is given in percentage probability, making it easier for the user to interpret the results. All analysis results are stored in a SQLite database, which is used for monitoring and administrative purposes. This proposed system has shown how deep learning and machine learning can be combined into a single framework to detect AI-generated content. This type of system can be used to enhance digital security, helping users identify fake media and possibly scam messages.

 

 

Published by: vikaspatanker

Authors: Megha Garud, Lalit Gaikwad, Prakash Mane, Ranjit Misal, Amey Phatak, Premraj Takawale

Abstract: The increasing adoption of Electric Vehicles (EVs) has brought significant attention to the availability and efficiency of charging infrastructure. Although governments and private organizations are actively deploying public charging stations, their limited number and uneven distribution continue to pose challenges for EV users. In many cases, users experience long waiting times or difficulty locating nearby charging facilities. This survey paper presents an EV Charger Sharing Platform that encourages the utilization of privately owned EV chargers through a web-based system. The platform enables charger owners to list their chargers and EV users to search, view, and book available charging slots based on location and availability. Developed using standard web technologies such as HTML, CSS, and JavaScript, the system aims to improve charger accessibility, reduce waiting time, and promote sustainable transportation. By adopting a sharing-economy approach, the proposed solution offers a cost-effective and scalable alternative to traditional public charging infrastructure.

Published by: vikaspatanker