Overview
Building an AI-powered educational tutor that can answer student questions and explain academic concepts in a clear, step-by-step, and personalised way.
This issue focuses on Option A from the project — developing an intelligent AI tutor/Q&A assistant to make learning more interactive and adaptive.
Description
The AI Tutor should understand user questions, retrieve relevant study material, and generate contextual, easy-to-understand explanations.
It should also support follow-up queries and adapt responses based on the learner’s understanding level.
Key Features
Context-based Q&A using RAG (Retrieval-Augmented Generation)
Step-by-step explanations with real-world examples
Adaptive responses based on user understanding
Follow-up questions and feedback support
Overview
Building an AI-powered educational tutor that can answer student questions and explain academic concepts in a clear, step-by-step, and personalised way.
This issue focuses on Option A from the project — developing an intelligent AI tutor/Q&A assistant to make learning more interactive and adaptive.
Description
The AI Tutor should understand user questions, retrieve relevant study material, and generate contextual, easy-to-understand explanations.
It should also support follow-up queries and adapt responses based on the learner’s understanding level.
Key Features
Context-based Q&A using RAG (Retrieval-Augmented Generation)
Step-by-step explanations with real-world examples
Adaptive responses based on user understanding
Follow-up questions and feedback support