Advanced Machine Learning & AI Course
This comprehensive challenge involved building an intelligent Personalized Learning Assistant using cutting-edge technologies. The project leverages Streamlit for the user interface, crewAI for agent orchestration, and a custom RAG (Retrieval-Augmented Generation) pipeline for enhanced question-answering capabilities.This Project was carried out during the first sesmester from Nov 2024- December 2024
The system allows users to upload their course materials, ask complex questions about the content, generate comprehensive summaries, and even create interactive quizzes for self-assessment. We implemented Groq LLM APIs for fast inference, utilized vector databases for efficient semantic search, and designed modular agents that work collaboratively to provide accurate, contextual responses.
Team lead
Team Member
Team Member