Objective

To build an AI-powered chatbot that automatically resolves students' academic doubts across various subjects in real time using Natural Language Processing (NLP) and Machine Learning (ML) techniques. It provides instant answers, relevant links, and video/article suggestions based on the question asked.

Key Features

Student Panel

• Secure registration and login system.

• Chat-based interface to ask doubts.

• Ask questions in natural language (e.g., “What is polymorphism in Java?”).

• Instant AI-generated answers with:

  • Text explanation

  • Code examples (if applicable)

  • Related resources (videos, notes, links)

• Context-aware follow-up questions supported.

• Subject tagging (e.g., Physics, Math, Programming).

• Store history of previous doubts.

• Option to mark a doubt as resolved or unresolved.

Professor/Expert Panel (Optional – if hybrid)

• Review unresolved or unclear questions.

• Provide human expert answers if AI fails.

• Train bot with FAQs, updated explanations.

• Add verified responses to improve accuracy.

Admin Panel

• Manage all users and their roles.

• Monitor bot accuracy and unresolved questions.

• Train AI model with more data.

• Approve expert answers before feeding them to the bot knowledge base.

• View analytics:

  • Number of doubts resolved.

  • Popular topics.

  • Failure rate of AI responses.

Tech Stack

Workflow: Step-by-Step

1. Student Login & Ask Doubt

• Student logs in.

• Opens chat interface.

• Enters doubt in plain language.

2. Doubt Processing & AI Response

• Text is sent to backend NLP engine (e.g., GPT/Rasa).

• Bot understands context and subject.

• Searches knowledge base + generates dynamic response.

• Returns answer with:

  • Text explanation

  • Media/links (if available)

3. Follow-Up Support

• Student can reply with follow-up queries.

• Bot maintains short-term memory of current thread for continuity.

• If confidence level is low:

  • Flags to human expert (if hybrid model used).

4. Expert Intervention (Optional)

• Experts get notified of unresolved doubts.

• Add responses or update AI training data.

5. Admin Oversight

• Approves flagged answers from experts.

• Tracks performance metrics:

  • Resolution rate

  • Most asked topics

  • AI vs Human answer ratio

6. Continuous Learning

• Chat logs used to retrain the AI model periodically.

• Admin or expert curates new content for training.

• Bot improves accuracy and relevance over time.