This project implements an AI-powered learning assistant with multiple modes of interaction, leveraging Retrieval Augmented Generation (RAG) for enhanced contextual responses.
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Multiple Learning Modes:
- AI Tutor: tutors you about the given topic using examples and questions
- Teach Me: user tutors the chatbot on the given topic by roleplaying as a curious student
- Co-Create: works with the user to refine case studies based on the given topic
- Simulation: creates fictional scenarios about the given topic
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RAG Implementation:
- Utilizes embedded sections from a knowledge base
- Retrieves relevant context for each user query
- Enhances AI responses with domain-specific information
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Conversation Management:
- Save and load conversations
- Start new conversations
- View conversation history
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User Interface:
- Chat-like interface for all learning modes
- Scrollable chat history
- Input field for user messages
- Send button for submitting queries
- New Conversation button to start fresh
- View Conversations button to access history
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Cross-Platform:
- Built with React Native for iOS and Android compatibility
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User Authentication:
- Supports user ID and email for personalized experiences
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Flexible Navigation:
- Allows switching between different screens and modes
Screen examples:
