RAG Based AI Teaching assistant

First Preview of the CLI

This image shows the initial command-line interface (CLI) of the AI Teaching Assistant. The CLI acts as a lightweight frontend where users can input queries directly. It is simple, fast, and efficient, making it suitable for developers and technical users who prefer terminal-based interaction.

After asking questions response of the llm

This preview demonstrates how the system responds after a user query. The assistant processes the input, retrieves relevant knowledge using the RAG pipeline, and generates a structured, meaningful answer using the LLM. The responses are contextual and tailored to the user's question.

tech-stack:

• Frontend: CLI
• Backend : Python
• Libraries : Langchain,Whisper
• LLM: Groq Open source llms