AI Smart Study Assistant Using Large Language Models and AI Agents

The research paper titled “AI Smart Study Assistant Using Large Language Models and AI Agents” proposes a conceptual framework for personalized and intelligent learning. It integrates Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and specialized AI agents to provide students with question answering, note summarization, quiz generation, study planning, and personalized revision recommendations. The system uses course materials and student quiz performance to generate context-aware learning support and identify topics requiring further practice. The proposed framework aims to make learning more organized, interactive, and efficient while highlighting challenges such as response accuracy, privacy, and agent coordination.