Daily Archives: June 6, 2025

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

Authors: Professor Swati Bagade, Pallavi Patil, Vaishnvi Patil, Riya Sankpa, Harshwardhan Thorat

Abstract: Artificial Intelligence (AI) models, also known as foundation models, are advanced computer systems that can process huge amounts of data and have billions of settings to fine-tune their performance. Once trained, these models can handle a wide range of tasks with impressive accuracy. A well-known example is GPT, which has amazed people with its abilities and potential to impact different areas of life. In healthcare, AI models are changing the way medical research and diagnosis work. With the rise of deep learning, the amount of medical and biological data has grown significantly, providing new opportunities to develop AI systems that can improve healthcare.This paper explores the role of large AI models in medicine, discussing their background and how they are used. We focus on four key areas where AI can make a big difference:1)Bioinformatics 2)Medical Diagnosis 3)Medical informatics 4)Public Health.

 

 

Published by: vikaspatanker

Authors: Anjali R

Abstract: This study aims to explore and analyze the Gen Z’s reaction towards Shrinkflation and their affect on purchasing behavior of Gen Z consumers, a phenomenon where product sizes decrease while the price remains the same. This has become increasingly prevalent in today’s economy. A sample of 100 respondents from diverse age groups, ranging from 18 years to26 and above, was surveyed using a structured questionnaire. . The data were analyzed using statistical and graphical tools to identify key trends and insights. The results indicated that about 61% of respondents belonged to the age group of 18-20 years, where half of the respondents (50%) were not even aware of the term Shrinkflation. About majority (68%) of respondents felt that brands or companies are not being transparent about Shrinkflation due to which consumers have started shifted to buying the product less often and also looking for various discounts to tackle this long term trend. Based on the data received it implies that Gen Z consumers have started exploring alternative brands and they want more transparency regarding the product to improve their experience on Shrinkflation.

Published by: vikaspatanker

Authors: Anjali R

Abstract: This study aims to explore and analyze the Gen Z’s reaction towards Shrinkflation and their affect on purchasing behavior of Gen Z consumers, a phenomenon where product sizes decrease while the price remains the same. This has become increasingly prevalent in today’s economy. A sample of 100 respondents from diverse age groups, ranging from 18 years to26 and above, was surveyed using a structured questionnaire. . The data were analyzed using statistical and graphical tools to identify key trends and insights. The results indicated that about 61% of respondents belonged to the age group of 18-20 years, where half of the respondents (50%) were not even aware of the term Shrinkflation. About majority (68%) of respondents felt that brands or companies are not being transparent about Shrinkflation due to which consumers have started shifted to buying the product less often and also looking for various discounts to tackle this long term trend. Based on the data received it implies that Gen Z consumers have started exploring alternative brands and they want more transparency regarding the product to improve their experience on Shrinkflation.

Published by: vikaspatanker

Authors: Professor Swati Bagade, Dr. Anamika Jain, Saad Shaikh, Om Salunkhe, Sourish Chatterjee, Aditya Salunkhe

Abstract: As the need for secure and effective data storage continues to grow, Network-Attached Storage (NAS) has emerged as an essential element for personal and business applications. This project aims to deploy a NAS system based on a virtual machine (VM) with OpenMediaVault (OMV) as the central storage management software. For added security, a Virtual Private Network (VPN) is incorporated, providing secure remote access. Moreover, data encryption is used to protect sensitive information from unauthorized access. This paper examines the design, implementation and security provisions of the proposed NAS system, showing its gains in terms of accessibility, scalability, and data integrity.

 

 

Published by: vikaspatanker

Authors: Deepti Varshney, Prajakta Mane, Raisa Shaikh, Kais Peerzade, Sumit Dharmadhikari

Abstract: The traditional hostel management system relies on manual operations such as physical registers, handwritten records, and labor-intensive procedures. These methods pose several inefficiencies, necessitating the development of a digital Hostel Management System (HMS) to streamline and automate hostel administration. The HMS is designed as an Android application integrating real-time authentication, notifications, and secure data management. This paper explores the design, implementation, and future enhancements of the system, incorporating insights from contemporary research on hostel automation.

 

 

Published by: vikaspatanker

Authors: Manisha Wasnik, Varad Landge, Sameer Mail, Shriya Watkar, Siddhesh Kamire

Abstract: — CryptoNavigator is a cryptocurrency tracking application built with Flutter, Dart, and Supabase. It fetches live market data through the CoinGecko API, providing real-time price tracking, search, favorites, and deep insights per cryptocurrency. Secure user login through email verification and profile management are some of its security features. One of the main features is price prediction to assist investors in making knowledge-based decisions. With a user-friendly UI and cross-platform support, CryptoNavigator aims to assist both new and experienced investors in tracking and predicting cryptocurrency trends.

 

 

Published by: vikaspatanker

Authors: Asstsitant Professor Sangeeta Mohapatra, Sourav Kale, Tejaswini Katole, Vrushali Kase, Aniket Kasturi, Pratiksha Ingle

Abstract: The continuous rise of urbanization has led to an overwhelming increase in waste generation with serious consequences for the environment and humans. Most waste disposal methods are inefficient, with little accountability or participation from the community, hence we propose a Smart Waste Management System (SWMS) built on AI technologies that employs computer vision and cloud computing to track on a real-time basis, facilitating improved waste sorting and the complaint making towards upcycling. The system allows the community to upload pictures of items to be reused and are identified as categories using an artificial intelligence model through which there is a trgging of the item for appropriate action. The platform also enables conversations on tracking complaints and donations of reusable items, thereby enabling data emergence for urban waste management authorities in making decisions. This paper explains the system design and implementation and is sustainability implications.

 

 

Published by: vikaspatanker