[GSOC IDEA 1] Added AI assistant, dashboard and student progress tracker.

[PixelCode01]

AI Assistant and Progress Tracking Implementation

Contributor: Anant Mishra

Features Implemented:

• Fully functional AI assistant with dual-model capabilities (Gemini & OpenAI)
• Interactive chat interface with markdown support and subject selection
• Teal-themed UI that matches the site's design language
• Student progress tracking dashboard with visualization[This is in progress]
• Navigation sidebar for seamless access across the AI ecosystem
• Mobile-responsive design for all components

Technical Details:

• Dual AI Model Integration:
  • Gemini API for general subjects (cost-effective for most queries)
  • OpenAI for specialized subjects (math and programming) where precision is critical
  • Automatic model selection based on subject matter
• Added Dashboard[in progress]
• Added Progress Tracker[in progress]
• Added full-width chat input for better usability

Current Status:

While the core functionality is working well, some aspects still need refinement:

• Progress visualization needs additional metrics
• Some mobile-specific optimizations are planned
• Planning to add more subject-specific prompting
• Dashboard needs more finishing
• Planning to add voice interaction also

Screenshots:

[Screenshots of AI assistant interface attached]

Testing:

The implementation has been tested for:

1. AI response quality across different subjects
2. Model switching based on subject selection
3. Progress tracking data accuracy
4. Mobile responsiveness on various screen sizes

Cost Efficiency:

The dual-model approach provides significant cost savings while maintaining quality:

• Using Gemini for ~70% of general queries reduces API costs
• Reserving OpenAI for specialized technical subjects where its strengths are most valuable

This implementation provides a solid foundation for the AI assistant ecosystem that can be built upon in future iterations.

Summary by CodeRabbit

• New Features

  • Introduced an interactive AI chat interface with subject selection, real-time messaging, and a responsive design.
  • Launched a comprehensive dashboard displaying conversation metrics, learning activity, and mastery insights.
  • Added a detailed progress view with visual progress indicators and personalized recommendations.
  • Debuted a personalized tutoring experience that tailors responses based on your learning profile.
  • Implemented a settings interface to customize your AI learning preferences.
  • Enhanced the admin interface for managing models related to interactions and user profiles.
  • Introduced a progress tracking system to analyze user learning and identify knowledge gaps.
  • Added support for multiple AI providers to enhance response generation.
  • Introduced new HTML templates for chat, dashboard, settings, and progress views, enhancing the user experience.
  • Added new CSS styles for Markdown content to improve readability.
  • Enhanced logging and error handling for improved application stability.
  • Added a new configuration for API keys and environment variables.
  • Added options for users to manage email and push notification preferences.

• Bug Fixes

  • Improved error handling for AI responses and user interactions to enhance stability.
  • Enhanced validation for Slack webhook URL to ensure proper message delivery.

• Chores

  • Updated environment configuration for API keys and dependencies.
  • Added new testing scripts for Gemini API functionality.