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@article{176298,
        author = {SAFEER T S and SOORAJ E S and Mr.M.Vijayakumar, Assistant Professor},
        title = {Personalized Study Recommendation Using AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {6283-6289},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176298},
        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.},
        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.},
        month = {April},
        }