International Journal of Science, Engineering and TechnologyAuthors: Ms. Mrunmayi Ashok Kurhade, Dr. Jasbir Kaur, Assistant Professor Ms. Mansi Rajapurkar
Abstract: The modern learning environment is characterized by fragmentation, where students often rely on multiple disconnected platforms for accessing notes, previous year questions (PYQs), live classes, and AI-driven tools. This disjointed approach results in inefficiency, reduced engagement, and difficulty in tracking progress. To address these challenges, this paper proposes an integrated solution that unifies all essential learning resources into a single platform. The system architecture comprises modules for notes repository, PYQ management, AI recommendation engine, live class integration, and analytics. Artificial intelligence techniques such as natural language processing (NLP), collaborative filtering, reinforcement learning, and adaptive analytics are employed to personalize learning, resolve doubts, and track student progress. The proposed solution not only enhances accessibility and efficiency but also lays the foundation for future integration of immersive technologies such as AR/VR and predictive analytics.
