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

Authors: Professor Swati Bagade, Aarohi Wagh, Veerashwar Kshirsagar, Shivam Ubarhande

Abstract: In today's digital era, students face significant challenges in finding authentic and structured reviews about colleges. The existing online platforms often provide scattered, biased, or unverified information, making it difficult for prospective students to make informed decisions. This paper presents an AI-powered College Review Chatbot designed to provide instant, structured, and reliable information about various colleges based on student feedback and key institutional parameters. The chatbot leverages Natural Language Processing (NLP) to interpret user queries and retrieve relevant insights from a curated database. Additionally, sentiment analysis is employed to filter biased or misleading reviews, ensuring a balanced perspective. The chatbot serves as an interactive guide, simplifying the decision-making process for students and enhancing user engagement. Experimental results demonstrate the chatbot's effectiveness in improving accessibility and reducing the time required to gather accurate college-related information.

 

 

Published by: vikaspatanker

Authors: Assistant Professor Swati Bagade, Ajay Ugale, Umer Tukdi, Sudhanshu Tripathi, Sundaram Tiwari

Abstract: The agricultural sector plays a critical role in ensuring food security and economic stability worldwide. However, farmers often encounter significant challenges, including limited access to markets, inefficient supply chains, price exploitation by intermediaries, and a lack of real-time market data. The Agriculture Management System (AMS) is a digital solution designed to bridge the gap between farmers and buyers by offering an online platform that ensures direct sales, fair pricing, and increased efficiency. AMS integrates three core modules: Farmer, Buyer, and Administrator, each with distinct functionalities aimed at optimizing market interactions. The system provides real time market price updates, a secure transaction mechanism, and a knowledge base for product quality assurance. By leveraging technology, AMS enhances transparency, reduces operational costs, and empowers farmers, ultimately leading to a more sustainable and profitable agricultural ecosystem. This paper examines the system's architecture, functionalities, expected impact, and future enhancements, emphasizing its potential to revolutionize agricultural trade.

 

 

Published by: vikaspatanker

Authors: Assistant Professor Manisha Wasnik, Prajwal Sharma, Karan Ranpise, Purvi Garvir, Aryan Poddar

Abstract: This paper explores the conceptualization, development, and anticipated impact of an innovative integrated ride-hailing application designed to seamlessly connect with Ola, Uber and Rapido through their respective APIs. The core objective of this research is to address the inefficiencies and user dissatisfaction caused by the need to switch between multiple ride-hailing platforms to compare real-time fares and estimated arrival times. By aggregating data from Ola, Uber and Rapido within a single, unified interface, the proposed solution eliminates the hassle of time-consuming searches, thereby streamlining the ride selection process and enhancing user convenience.The study employs a comprehensive mixed-methods approach, incorporating a detailed technical analysis of API integration, system architecture design, and user experience assessments conducted through simulations and surveys. The findings demonstrate that this integrated platform significantly improves search efficiency, enhances user satisfaction, and offers broader implications for urban mobility by optimizing resource allocation within the ride-sharing industry. The significance of this research lies in its potential to revolutionize the ride-hailing ecosystem, paving the way for a more efficient, user-centric, and technology-driven transportation landscape.

 

 

Published by: vikaspatanker

Authors: Assistant Professor Sangeeta Mohapatra, Kartik Biradar, Tushar Malwade, Aryan Lanke

Abstract: In today’s mobile-centric era, travelers increasingly rely on real-time, personalized information to enhance their tourism experiences. This paper presents the design and implementation of a context-aware mobile application that recommends nearby tourist attractions, optimizes visitation routes, and provides detailed information about local accommodations and dining options. Building on recent advancements in mobile computing, route optimization, and context-aware systems, our work details the system’s architecture, data acquisition methods, hybrid recommendation engine, and routing algorithms. Experimental results demonstrate improvements in route efficiency and recommendation accuracy while maintaining real-time responsiveness. The paper also discusses potential enhancements using machine learning techniques and further integration with urban data streams.

 

 

Published by: vikaspatanker

Authors: vijaya Sawant

Abstract: Fraud detection has become a critical area of concern across industries, with increasing volumes of online transactions and evolving cyber threats. Machine Learning (ML) models play a vital role in identifying fraudulent activities. This study explores a comparative analysis of supervised and unsupervised learning approaches in fraud detection. Supervised models, relying on labeled data, offer high accuracy, while unsupervised models excel in anomaly detection, capable of identifying previously unseen fraud patterns. This paper discusses their applications, advantages, challenges, and suggests hybrid approaches to optimize fraud detection systems.

 

 

Published by: vikaspatanker

Authors: Professor Swati Bagade, Dr. Anamika Jain, Sakshi Patil, Shivani Shivshette, Lavanya Sharma, Disha Shirsat

Abstract: The concept of virtual mouse using hand gesture is touch free input device . It replace traditional mouse. The proposed interface aims to create a more intuitive and seamless interaction between users and their devices by leveraging the natural movements of the hand. This innovative approach has the potential to enhance user experience and interaction efficiency in various applications, including virtual environments and gesture- based control systems. The paper explores the technical aspects, challenges, and future possibilities for implementing the hand mouse interface with computer system and enhance human-computer interference.

 

 

Published by: vikaspatanker

Authors: Assistant Professor Sangeeta Mohapatra, Mayur Madkholkar, Kiran Londhe, Virag Khade, Priya Manjare, Anushka Jachak

Abstract: This paper explores the development of a mobile and web application designed to centralize notifications and updates about hackathons, tech fests, and other technology-related opportunities for students. The goal is to address challenges students face in discovering relevant events and staying updated on deadlines and registration dates by aggregating data from multiple sources into one platform. By integrating information from various organizers, the solution streamlines event discovery and enhances convenience. Using a mixed-methods approach, including technical analysis and user experience testing, the study finds that the platform improves event discovery efficiency, user satisfaction, and connects students with specialized career opportunities in fields like AI, cybersecurity, and blockchain.

 

 

Published by: vikaspatanker

Authors: Assistant Professor Manisha Wasnik, Parth Pawar, Sarthak Divate, Prajwal Salunkhe, Shivendra Kale

Abstract: Menstruation plays an important role in a woman's life and mostly on the human race all over the world .Menstruation cannot be avoided till menopause so some way should be there to avoid the painful effects of menstruation , although the pain caused also cannot be avoided but can be aided with use of sanitary pads .But use of sanitary pad also depends on when it is used , it cannot be placed every day the individual should know when she has to apply it that is before the menstruation occurs and not after the menstruation puts stain on individuals clothes . Here the role of menstruation cycle tracking application comes into action where tracking menstruation cycle would assist in approximately know the days when to apply the sanitary pad. There hasn’t been much research done on the most important topic, so it’s really difficult to judge if the menstruation cycle tracking apps have any negative insights on the individual’s health. most of the women, manually mark the dates on the calendar which is a good real time method but the kind of accuracy and precision which is achieved on the application cannot be achieved on a physical calendar

 

 

Published by: vikaspatanker