AI Powered Study Assistant
Dr.K.E. Kannammal1, Ancy Jemi Goldbell P2, Anishka J3, Balaji S4, Balaji S S5 , Bharath Sivanesh S6
1Professor and Head of the Department of Computer Science & Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India,
2Student, Department of Computer Science & Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India, Email: ancyjemigoldbellp22cse@srishakthi.ac.in
3Student, Department of Computer Science & Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India, Email: anishkaj22cse@srishakthi.ac.in
4Student, Department of Computer Science & Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India, Email: balajis22cse@srishakthi.ac.in
5Student, Department of Computer Science & Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India, Email: balajiss22cse@srishakthi.ac.in
6Student, Department of Computer Science & Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India, Email: bharathsivaneshs22csesrishakthi.ac.in
ABSTRACT : The system integrates a web-based teacher dashboard and a mobile student application for seamless interaction. A transformer-based Large Language Model (Gemini) is used for syllabus-driven question and answer generation. Teachers can upload syllabi, generate assessments, manage student doubts, and view analytics. Students access AI-generated materials and receive instant academic support through an AI chatbot. The backend is implemented using FastAPI with cloud-based storage and real-time synchronization via Firestore. Firebase Cloud Messaging enables real-time notifications. The system reduces teacher workload and improves response efficiency. Learning analytics support data-driven instructional decisions. Overall, the platform delivers a scalable and intelligent academic support solution.
