Update README.md

README.md

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 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 🎓 EduTutor AI - Complete Learning Platform
+
+**An advanced AI-powered educational platform that provides personalized tutoring, homework analysis, interactive quizzes, and comprehensive progress tracking.**
+
+## ✨ Features
+
+### 🤖 AI Chat Tutor
+- **Intelligent Responses**: Powered by IBM Granite 3.3 2B Instruct model with GPT-2 fallback
+- **Multi-Subject Support**: Mathematics, Physics, Chemistry, Biology, and General topics
+- **Difficulty Levels**: Beginner, Intermediate, and Advanced content
+- **Math Problem Solving**: Automatic detection and step-by-step solutions for algebraic equations
+
+### 📊 Advanced Homework Analyzer
+- **Multi-Problem Detection**: Automatically identifies and separates individual problems
+- **Comprehensive Solutions**: Detailed step-by-step solutions with explanations
+- **Subject-Specific Analysis**: Tailored approaches for different academic subjects
+- **Performance Assessment**: Grading estimates and improvement recommendations
+
+### 📝 Interactive Quiz System
+- **Dynamic Question Generation**: Creates subject-specific quizzes on any topic
+- **Immediate Feedback**: Detailed explanations for each answer
+- **Performance Tracking**: Automatic score calculation and analysis
+- **Customizable Length**: 3-10 questions per quiz
+
+### 📋 Study Plan Generator
+- **Personalized Learning Paths**: Custom study plans based on topic and duration
+- **Structured Modules**: Organized learning with time estimates and difficulty levels
+- **Essential Terminology**: Key terms and definitions for each subject
+- **Progress Milestones**: Clear goals and assessment points
+
+### 📈 Progress Tracking
+- **Comprehensive Analytics**: Detailed performance reports and trends
+- **Multi-Student Support**: Track progress for multiple learners
+- **Achievement System**: Badges and milestones for motivation
+- **Learning Insights**: Personalized recommendations based on performance data
+
+## 🚀 Quick Start
+
+### Prerequisites
+- Python 3.8 or higher
+- CUDA-compatible GPU (optional, for better performance)
+- Hugging Face account (optional, for access to more models)
+
+### Installation
+
+1. **Clone or download the application files**
+   \`\`\`bash
+   # Ensure you have app.py in your working directory
+   \`\`\`
+
+2. **Install dependencies**
+   \`\`\`bash
+   pip install -r requirements.txt
+   \`\`\`
+
+3. **Set up Hugging Face token (optional)**
+   - Create a Hugging Face account at https://huggingface.co
+   - Generate an access token
+   - Set it as an environment variable or add to Google Colab secrets:
+   \`\`\`bash
+   export HF_TOKEN="your_token_here"
+   \`\`\`
+
+4. **Run the application**
+   \`\`\`bash
+   python app.py
+   \`\`\`
+
+5. **Access the web interface**
+   - Open your browser and go to `http://localhost:7860`
+   - The application will also provide a public Gradio link for sharing
+
+## 🎯 How to Use
+
+### AI Chat Tutor
+1. Select your subject and difficulty level
+2. Type your question in the chat input
+3. Get instant, detailed responses with explanations
+4. Ask follow-up questions for deeper understanding
+
+**Example Questions:**
+- "Solve 2x + 5 = 15"
+- "What is photosynthesis?"
+- "Explain Newton's first law"
+- "How do I factor x² - 5x + 6?"
+
+### Homework Analyzer
+1. Select the subject of your homework
+2. Paste your homework problems in the text area
+3. Click "Analyze Homework" for comprehensive solutions
+4. Review detailed explanations and study recommendations
+
+### Interactive Quizzes
+1. Enter a topic and select subject
+2. Choose the number of questions (3-10)
+3. Answer all questions using the radio buttons
+4. Submit to see results with explanations
+
+### Study Plans
+1. Enter the topic you want to study
+2. Select subject and study duration
+3. Get a personalized learning roadmap with:
+   - Structured modules and timelines
+   - Key concepts and terminology
+   - Study tips and resources
+
+### Progress Tracking
+1. **Add Progress**: Record completed activities with scores
+2. **View Reports**: Generate comprehensive progress analytics
+3. **Track Trends**: Monitor improvement over time
+4. **Get Recommendations**: Receive personalized study advice
+
+## 🧠 AI Models and Technology
+
+### Primary Model
+- **IBM Granite 3.3 2B Instruct**: Advanced language model optimized for educational content
+- **Automatic Fallback**: GPT-2 model ensures reliability if primary model fails
+- **GPU Acceleration**: CUDA support for faster response times
+
+### Knowledge Base
+- **Curated Content**: Expert-verified information across multiple subjects
+- **Structured Learning**: Organized concepts with definitions and applications
+- **Real-World Connections**: Practical applications and examples
+
+### Math Solver
+- **Algebraic Equations**: Step-by-step solutions with verification
+- **Arithmetic Operations**: Order of operations and detailed calculations
+- **Error Handling**: Helpful guidance when problems can't be solved automatically
+
+## 📚 Supported Subjects
+
+### Mathematics
+- Algebra (linear equations, quadratics, systems)
+- Geometry (shapes, area, volume)
+- Calculus (derivatives, integrals, limits)
+- Statistics (data analysis, probability)
+
+### Physics
+- Mechanics (motion, forces, energy)
+- Thermodynamics (heat, temperature, entropy)
+- Electromagnetism (electric and magnetic fields)
+- Waves (sound, light, frequency)
+
+### Chemistry
+- Organic Chemistry (carbon compounds, reactions)
+- Inorganic Chemistry (metals, salts, acids/bases)
+- Chemical Bonding (ionic, covalent, molecular)
+
+### Biology
+- Cell Biology (organelles, processes)
+- Genetics (DNA, inheritance, mutations)
+- Photosynthesis and Respiration
+- Ecology and Evolution
+
+## 🔧 Configuration
+
+### Environment Variables
+- `HF_TOKEN`: Hugging Face API token for model access
+- `CUDA_VISIBLE_DEVICES`: GPU selection for CUDA acceleration
+
+### Model Configuration
+The application automatically detects available hardware and configures models accordingly:
+- **GPU Available**: Uses CUDA acceleration with float16 precision
+- **CPU Only**: Falls back to CPU processing with float32 precision
+
+## 📊 Performance and Scalability
+
+### System Requirements
+- **Minimum**: 4GB RAM, 2GB storage
+- **Recommended**: 8GB RAM, 4GB storage, CUDA-compatible GPU
+- **Optimal**: 16GB RAM, 8GB storage, modern GPU (RTX 3060 or better)
+
+### Response Times
+- **With GPU**: 1-3 seconds for most queries
+- **CPU Only**: 5-15 seconds depending on complexity
+- **Simple Math**: Near-instantaneous regardless of hardware
+
+## 🛠️ Troubleshooting
+
+### Common Issues
+
+**Model Loading Fails**
+- Check internet connection for model download
+- Verify sufficient disk space (2-4GB required)
+- Try running with CPU-only mode
+
+**Slow Performance**
+- Enable GPU acceleration if available
+- Reduce concurrent users
+- Consider using lighter models for deployment
+
+**Quiz/Progress Features Not Working**
+- Ensure all form fields are filled correctly
+- Check that scores are between 0-100
+- Verify student names don't contain special characters
+
+### Getting Help
+- Check the console output for detailed error messages
+- Ensure all dependencies are installed correctly
+- Try restarting the application if issues persist
+
+## 🤝 Contributing
+
+This educational platform is designed to be extensible and customizable:
+
+### Adding New Subjects
+1. Extend the `KnowledgeBase` class with new subject data
+2. Add subject-specific question templates for quizzes
+3. Update the Gradio interface dropdown options
+
+### Improving AI Responses
+1. Enhance the knowledge base with more detailed content
+2. Add new prompt templates for different question types
+3. Implement additional fallback response strategies
+
+### Adding Features
+1. Create new methods in the `EducationalFeatures` class
+2. Add corresponding Gradio interface components
+3. Update the main application class to integrate new features
+
+## 📄 License
+
+This project is designed for educational purposes. Please ensure compliance with:
+- Hugging Face model licenses
+- Gradio usage terms
+- Educational fair use guidelines
+
+## 🙏 Acknowledgments
+
+- **Hugging Face**: For providing the transformer models and libraries
+- **Gradio**: For the excellent web interface framework
+- **IBM**: For the Granite model series
+- **SymPy**: For mathematical computation capabilities
+- **PyTorch**: For deep learning infrastructure
+
+## 📞 Support
+
+For technical support or questions:
+1. Check the troubleshooting section above
+2. Review the console output for error details
+3. Ensure all requirements are properly installed
+4. Consider hardware limitations for performance issues
+
+---
+
+**EduTutor AI - Empowering Education Through Artificial Intelligence** 🎓✨