Learning Assessment Platform

A comprehensive platform for assessing and improving programming skills through interactive assessments and real-time feedback.

Features

For Students

• Skill Assessment: Take programming assessments in various languages and domains
• Knowledge Testing: Test theoretical understanding of programming concepts
• Real-time Feedback: Get instant feedback on your code submissions
• Progress Tracking: Monitor your learning progress over time
• Personalized Learning Path: Get recommendations based on your performance

For Teachers

• Assessment Creation: Create custom assessments for students
• Performance Monitoring: Track student progress and identify areas for improvement
• Automated Grading: Automatic evaluation of student submissions
• Detailed Analytics: Access comprehensive reports on student performance

For Administrators

• User Management: Add, view, and manage users through an intuitive admin dashboard
• Domain Management: Add and remove programming domains and topics
• Assessment Management: Organize and manage all assessments
• Admin Assistant: AI-powered chatbot for quick administrative tasks
  • View user statistics and performance
  • Manage domains and users through chat commands
  • Access assessment results and analytics
  • Monitor platform usage

Technical Features

• Firebase Integration: Secure authentication and real-time database
• AI-Powered Analysis: Advanced code analysis and feedback
• Responsive Design: Works seamlessly across devices
• Real-time Updates: Instant updates for assessments and results

Screenshots

Dashboard - Track your learning progress

Assessment Interface - AI-powered question generation

Content Library - Content Library

Getting Started

1. Clone the repository

   git clone https://github.com/ManojINaik/Ai-learning.git
   cd Ai-learning

2. Install dependencies

   npm install

3. Set up environment variables

    VITE_FIREBASE_API_KEY=<your-api-key>
    VITE_FIREBASE_AUTH_DOMAIN=<your-api-key>
    VITE_FIREBASE_PROJECT_ID=<your-api-key>
    VITE_FIREBASE_STORAGE_BUCKET=<your-api-key>
    VITE_FIREBASE_MESSAGING_SENDER_ID=<your-api-key>
    VITE_FIREBASE_APP_ID=<your-api-key>
    VITE_FIREBASE_MEASUREMENT_ID=<your-api-key>
    
    # GLHF API Configuration
    VITE_GLHF_API_KEY=<your-api-key>
    VITE_GLHF_API_URL=https://glhf.chat/api/openai/v1

4. Start development server

   npm run dev

Admin Assistant Commands

The Admin Assistant chatbot supports the following commands:

User Management

• show all users or list users: View all users in the system
• show statistics: View platform usage statistics
• delete user [email]: Remove a user from the system

Domain Management

• show domains or list domains: View all available domains
• add domain [name]: Add a new programming domain
• add domain [name] [description]: Add a domain with description
• delete domain [name]: Remove a domain

Assessment Management

• show assessments or assessment stats: View assessment statistics
• show results or result stats: View assessment result statistics
• show results for [userId]: View results for a specific user

Tech Stack

• Frontend: React, TypeScript, Tailwind CSS
• Backend: Firebase (Authentication, Firestore)
• APIs: GLHF Chat API for code analysis
• State Management: React Context
• UI Components: Custom components with Tailwind

Project Structure

project/
├── 📁 src/
│   ├── 📁 api/           # API endpoints
│   ├── 📁 components/    # Reusable components
│   ├── 📁 config/       # Configuration files
│   ├── 📁 contexts/     # React contexts
│   ├── 📁 hooks/        # Custom hooks
│   ├── 📁 pages/        # Page components
│   ├── 📁 services/     # Business logic
│   ├── 📁 styles/       # Global styles
│   └── 📁 types/        # TypeScript types
└── 📁 public/           # Static assets

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Author

Manoj Naik

• GitHub: @ManojINaik

Acknowledgments

• GLHF Chat for AI capabilities
• React and TypeScript communities

Made with ❤️ by Manoj Naik