Study Mate using AI-ML

The advent of modern technologies like Machine Learning (ML) and Artificial Intelligence (AI) has paved the way for innovative solutions across various domains, including education. This project presents a comprehensive web application built using the MERN (MongoDB, Express.js, React.js, Node.js) stack. It aims to simplify academic resource sharing and enhance the learning experience for students, particularly engineering students, by integrating AI-powered chatbots and NLP-enhanced semantic search capabilities. The platform enables secure access to study materials, facilitates peer-to-peer collaboration, and supports document exchange and stationery transactions among students. Email API integration is used for real-time notifications to keep users updated with the latest uploads and interactions on the platform. The project focuses on ensuring security through JWT-based authentication and the use of cloud storage for document management. This abstract encapsulates the project’s innovative use of MERN stack technologies alongside AI/ML techniques, showcasing a platform that promotes resource-sharing while ensuring a secure and user-friendly experience

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Institutions

Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2024-10-14
DOI
https://doi.org/10.48175/ijarsct-19852
Primary Topic
Educational Games and Gamification
Type
article
Field-Weighted Citation Impact
0.00
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article

Study Mate using AI-ML

S. P. Pingat, Mayuri Borate, Akansha Sonar, Azara Tamboli et al.
1 links
International Journal of Advanced Research in Science Communication and Technology
Educational Games and Gamification
article

Study Mate using AI-ML

S. P. Pingat, Mayuri Borate, Akansha Sonar, Azara Tamboli, Vrushali Paithankar
article en

Abstract

The advent of modern technologies like Machine Learning (ML) and Artificial Intelligence (AI) has paved the way for innovative solutions across various domains, including education. This project presents a comprehensive web application built using the MERN (MongoDB, Express.js, React.js, Node.js) stack. It aims to simplify academic resource sharing and enhance the learning experience for students, particularly engineering students, by integrating AI-powered chatbots and NLP-enhanced semantic search capabilities. The platform enables secure access to study materials, facilitates peer-to-peer collaboration, and supports document exchange and stationery transactions among students. Email API integration is used for real-time notifications to keep users updated with the latest uploads and interactions on the platform. The project focuses on ensuring security through JWT-based authentication and the use of cloud storage for document management. This abstract encapsulates the project’s innovative use of MERN stack technologies alongside AI/ML techniques, showcasing a platform that promotes resource-sharing while ensuring a secure and user-friendly experience

International Journal of Advanced Research in Science Communication and Technology
Smt. Kashibai Navale Medical College and General hospital (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 78%
Educational Games and Gamification
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