Category Archives: Uncategorized

Authors: Professor Swati Bagade, Khushi Dilip Wable, Siddhi Virendra Galande, Shreya Vinod Galande, Chanchal Suresh Khandarkar

Abstract: Wearing face masks is a recommended preventive measure to curb the spread of infectious diseases, particularly SARS-CoV-2. Consequently, automated detection of mask usage, including proper placement and mask type, remains a key area of research. Coronaviruses, a vast family of viruses, have significantly impacted public health due to their high transmissibility. To safeguard public health, individuals are encouraged to practice social distancing, maintain hand hygiene, and most importantly, wear face masks. Mask usage has become widespread globally, with densely populated regions, such as India, facing heightened challenges in ensuring compliance. The developed model has undergone through training and validation using a real-world dataset and has been additionally tested on live video streams to assess its effectiveness. The system’s accuracy has been evaluated under various conditions, including different distances, positions, and multiple individuals within a single frame, ensuring reliable and consistent performance.

 

 

Published by: vikaspatanker

Authors: Professor Swati Bagade, Dr. Anamika Jain, Sujata Patil, Anusha Rolla, Vaishanavi Sarangdhar

Abstract: This project presents a security system that helps protect laptops from unauthorized access. If someone enters the wrong password once, the owner receives a notification. After three incorrect attempts, the laptop shuts down automatically to prevent further access. If an intruder manages to log in using the correct password, they will be asked three security questions set by the owner. If they fail to answer correctly, the laptop shuts down again. This system improves security by sending real-time alerts, adding extra verification steps, and preventing unauthorized use while keeping user data private.

 

 

Published by: vikaspatanker

Authors: Professor Yashanjali Sisodia, Om Dongare, Pranav Gaikwad, Risheekesh Gavate, Atharva Dumbre

Abstract: Traveling through jungles and wildlife reserves is an exciting adventure, but it comes with its fair share of challenges—getting lost, struggling to find transport, securing safe lodging, and connecting with trustworthy tour guides. This paper introduces a website designed to solve these problems by offering real-time navigation help, transport details, accommodation options, and immersive cultural experiences. By using technology, the platform ensures a smoother, safer, and more enjoyable journey for travelers. Here, we discuss how the website works, its key features, and its potential to transform jungle tourism.

 

 

Published by: vikaspatanker

Authors: Swati Bagade, Lavanya Vinaykumar Pashine, Mrunalini Kamble, Pranav Jadhav, Abhinash Roy

Abstract: Disasters, both natural and man-made, pose significant threats to human lives and infrastructure. Effective disaster management requires timely response, coordination between government agencies, s, and affected individuals, and real-time data collection. This project proposes a Disaster Management System, which serves as a platform where people in distress can request help and where volunteers, NGOs, and government agencies can respond efficiently.The system will include real-time reporting, resource allocation, and volunteer management features. The platform will support multiple users, including citizens, volunteers, and administrators, with role-based access to ensure efficient operations. The proposed system aims to improve disaster response efficiency and enhance communication during emergencies.

 

 

Published by: vikaspatanker

Authors: Assistant Professor Manisha Wasnik, Jay Burde, Shreya Tapkir, Apurva Solanke, Yash Burde, Siddesh Tapkir

Abstract: Drying clothes outdoors is a standard household practice, but unexpected weather changes, particularly rain, can cause inconvenience. Traditional drying methods rely on constant human supervision, making them inefficient. This project presents an Automatic Rain Sensor for Clothes, which autonomously detects rainfall and activates a protective covering to prevent clothes from getting wet. The system is designed with a rain detection sensor, a microcontroller, and an automated covering mechanism. When rain is detected, the microcontroller signals the system to deploy the protective covering. Once the rain stops, the cover retracts, allowing clothes to resume drying. This project emphasizes affordability, energy efficiency, and quick responsiveness to changing weather conditions.

 

 

Published by: vikaspatanker

Authors: Assistant Professor Yashanjali Sisodia, Ankita Choudhary, Srushti Gore, Sanika Bhokare

Abstract: The emergence of e-commerce has revolutionized how artisans and craftsmen reach their audiences. This research explores the development of a digital marketplace tailored for handmade art and crafts, focusing on secure payment solutions, personalized storefronts, and interactive engagement between artists and buyers. By analyzing existing platforms, user needs, and technological advancements, this study proposes an optimal framework for an inclusive, secure, and artist-friendly marketplace.

 

 

Published by: vikaspatanker

Authors: Yashanjali Sisodia, Aniket Raut, Sarica Choudhari, Vidya Deshmukh, Grishma Fuke

Abstract: Access to affordable healthcare is a growing global concern, and the high cost of branded medicines often puts essential treatments out of reach for many. Generic medicines offer a practical and cost-effective solution, providing the same therapeutic benefits as their branded counterparts. However, misconceptions about their quality and effectiveness have slowed their acceptance. This research explores the role of generic medicines in modern healthcare, breaking down common myths and shedding light on the rigorous regulations that ensure their safety and efficacy. It also examines the economic impact of generics, their potential to reduce healthcare expenses, and the challenges manufacturers face, such as patent restrictions and consumer trust issues. By addressing these barriers and highlighting the benefits of generics, this study emphasizes the need for greater awareness, policy support, and public confidence. The findings suggest that improved education and stronger regulatory transparency can help shift perceptions, ultimately making healthcare more accessible and affordable for all.

 

 

Published by: vikaspatanker

Authors: Professor Swati Bagade, Vaishnavi Patra, Supriya Unde, Pooja Upadhyay, Sakshi Taru

Abstract: Counterfeit licenses pose significant security risks, leading to identity fraud and unauthorized access. Traditional verification methods are often slow, inefficient, and prone to human errors. This paper introduces an AI-based solution that combines image processing, Optical Character Recognition (OCR), and deep learning techniques for accurate fake license detection. A Convolutional Neural Network (CNN) is used to analyze both visual and textual elements, while blockchain technology ensures secure and tamper-proof verification. The proposed system enhances fraud prevention, enables real-time authentication, and improves regulatory enforcement. Experimental results show that this approach outperforms conventional detection methods in accuracy and efficiency.

 

 

Published by: vikaspatanker

Authors: Professor Swati Bagade, Dr. Anamika Jain, Aditya Sonune, Vedang Solaskar, Sanath Singh, Rishikesh Nate

Abstract: The widespread availability of altered images undermines confidence in digital media across multiple sectors. This work introduces an innovative web-based platform that harnesses deep learning to instantly distinguish genuine visuals from fabricated ones. Developed using Flask and a custom TensorFlow model with specialized components, the system allows users to upload images and receive rapid classifications through an intuitive interface. Experimental outcomes confirm its effectiveness in separating authentic from falsified content, supported by a design tailored for practical deployment. Unique activation functions and dropout techniques enhance the model’s durability, establishing it as a potent tool to counter visual misinformation.

 

 

Published by: vikaspatanker

Authors: Assistant Professor Sangeeta Mohapatra, Piyush Padole, Sahil Mulla, Naynesh Patil, Mukund Patil

Abstract: The Short News App is an app for mobile devices that provides brief, current news in a fast, easy-to-read format. With the increasing need for effective news consumption in the fast-paced world of today, this app provides consumers with the option to be informed without spending much time. It collects news from different credible sources and condenses articles into brief, informative summaries that can be read within seconds. Features of the app include customizable news categories, live updates, push alerts, and an easy-to-use interface to provide an overall improved user experience. Through its emphasis on conciseness and pertinence, the Short News App enables users to remain updated with the latest news while conserving precious time.

 

 

Published by: vikaspatanker