🚀 Smart AI Learning Platform

Welcome to the future of e-learning! The Smart AI Learning Platform is a cutting-edge educational platform that leverages artificial intelligence to provide personalized learning experiences, interactive courses, and real-time assistance.

✨ Features

🤖 AI-Powered Learning

• Personalized Learning Paths: AI algorithms analyze your progress and suggest customized learning journeys
• Smart Recommendations: Get course suggestions based on your interests and learning patterns
• Adaptive Difficulty: Content adjusts to match your skill level in real-time

📚 Interactive Courses

• Rich Multimedia Content: Engaging video lectures, interactive quizzes, and hands-on exercises
• Progress Tracking: Monitor your learning journey with detailed analytics
• Skill Assessment: Regular assessments to measure understanding and retention

💬 AI Chat Assistant

• 24/7 Learning Support: Get instant help with course materials anytime
• Context-Aware Responses: AI understands your course context for relevant assistance
• Multi-language Support: Communicate in your preferred language

🎯 Smart Features

• Code Execution: Run and test code directly in the platform
• Peer Learning: Connect with fellow learners for collaborative projects
• Gamification: Earn badges and rewards for your learning achievements

🛠️ Tech Stack

• Frontend: React.js, Next.js, Redux, Tailwind CSS
• Backend: Node.js, Express.js
• AI/ML: Python, TensorFlow, NLP models
• Database: MongoDB, Redis
• Authentication: JWT, OAuth 2.0
• Real-time: WebSockets
• Containerization: Docker
• CI/CD: GitHub Actions

🚀 Getting Started

Prerequisites

• Node.js (v16 or higher)
• npm (v8 or higher)
• Python (v3.8 or higher)
• MongoDB (v5.0 or higher)
• Redis (v6.0 or higher)

🚀 Deployment

Frontend Deployment (Vercel)

1. Create a Vercel account at https://vercel.com
2. Install Vercel CLI globally:

   npm install -g vercel

3. Navigate to frontend directory and deploy:

   cd Frontend
   vercel

4. Set environment variables in Vercel:
   • REACT_APP_API_URL: Your Render backend URL
   • REACT_APP_GOOGLE_RECAPTCHA_KEY: Your Google reCAPTCHA key

Backend Deployment (Render)

1. Create a Render account at https://render.com
2. Create a new Web Service:
   • Build Command: npm install
   • Start Command: npm start
   • Environment Variables:
     • MONGODB_URI: Your MongoDB connection string
     • JWT_SECRET: Your JWT secret key
     • OPENAI_API_KEY: Your OpenAI API key
     • RAZORPAY_KEY: Your Razorpay key
     • RAZORPAY_SECRET: Your Razorpay secret
     • SMTP_HOST: Your SMTP host
     • SMTP_PORT: Your SMTP port
     • SMTP_USER: Your SMTP user
     • SMTP_PASS: Your SMTP password

Post-Deployment Steps

1. After both deployments are complete:

   • Update your frontend's API calls to point to your Render backend URL
   • Test the full application flow
   • Monitor both services for any errors

2. Free Tier Limitations:

   • Vercel: 100 GB/month bandwidth, 100,000 requests/month
   • Render: 100 hours/month of free compute time

3. Deployment Commands:

   # Build frontend
   cd Frontend
   npm run build
   
   # Start backend locally (for testing)
   cd ../server
   npm start

Installation

1. Clone the repository

   git clone https://github.com/yourusername/smart-ai-learning-platform.git
   cd smart-ai-learning-platform

2. Install dependencies

   # Install server dependencies
   cd server
   npm install
   
   # Install frontend dependencies
   cd ../Frontend
   npm install

3. Set up environment variables

   • Create a .env file in the root directory
   • Add the following variables:

     # Server
     PORT=5000
     MONGODB_URI=your_mongodb_uri
     JWT_SECRET=your_jwt_secret
     
     # Frontend
     NEXT_PUBLIC_API_URL=http://localhost:5000
     

4. Start the development servers

   # Start backend server
   cd server
   npm run dev
   
   # In a new terminal, start frontend
   cd Frontend
   npm run dev

5. Access the application Open http://localhost:3000 in your browser

🧪 Testing

Run the test suite:

# Run backend tests
cd server
npm test

# Run frontend tests
cd ../Frontend
npm test

🤝 Contributing

We welcome contributions! Please follow these steps:

1. Fork the repository
2. Create a 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.

🙏 Acknowledgments

• All the amazing open-source libraries that made this project possible
• Our wonderful community of contributors
• The educators and learners who inspire us every day

📞 Contact

<<<<<<< HEAD For any queries or support, please contact us at [email protected]

For any queries or support, please contact us at [email protected]

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<<<<<<< HEAD Made with ❤️ by CoddyCulture Team ======= Made with ❤️ by the Smart AI Learning Team Prabhat Mishra >>>>>>> 2d4ffe0a024f97d401e0ca5eb099fa118e345d3b