RAG BASED AI TEACHING ASSISTANT
The objective of this project is to design and implement an AI-powered Teaching Assistant that can provide accurate, context-aware answers to student queries using Retrieval-Augmented Generation (RAG). The assistant will process course materials such as lecture videos, text notes, and other study content. Students will be able to interact with the system by asking questions about any video or by searching for specific topics within a lecture. The system will then generate a clear, context-aware response that is directly tied to the lecture material, while also providing a reference to the original video timestamp for easy review.