Personalized Study Recommendation Using AI

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SAFEER T S; SOORAJ E S; Mr.M.Vijayakumar, Assistant Professor

Personalized Study Recommendation Using AI

Authors: SAFEER T S, SOORAJ E S, Mr.M.Vijayakumar, Assistant Professor

Unique Paper ID: 176298
Volume: 11
Issue: 11
PageNo: 6283-6289

Keywords: AI-Powered Study Recommendations Google Gemini AI Natural Language Processing (NLP) Django Framework Adaptive Learning Systems User Study Tracking Data-Driven Education Study Analytics Web-Based Learning Platforms.

Abstract:
AI-driven study recommendation system designed to provide personalized learning suggestions based on user input. Developed using Django and integrated with Google Gemini AI, the system generates study recommendations by analyzing the subject and study duration provided by the user. It features user authentication, study session tracking, and a dashboard for monitoring study patterns. The platform aims to enhance learning efficiency by offering adaptive study strategies, making it a useful tool for students seeking optimized study techniques.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 11
PageNo: 6283-6289

Personalized Study Recommendation Using AI

Available:https://ijirt.org/article?manuscript=176298

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