Cursor/build skin analysis web app 81e7

README.md

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-#temp
+# 🩺 Arogya Sahayak & Skinalyze - Complete Health Assistant Platform
+
+A comprehensive, multilingual health analysis platform combining skin disease detection, general disease prediction, and maternal health risk assessment using artificial intelligence, built with Streamlit.
+
+## ✨ Features
+
+### 👩‍⚕️ **Maternal Health Risk Assessment**
+- Vital signs analysis for maternal health risk prediction
+- Input patient data: Age, Blood Pressure, Blood Sugar, Temperature, Heart Rate
+- Risk categorization: Low, Medium, High
+- Ideal for health workers in rural areas
+- Multilingual support for better accessibility
+
+### 🩺 **General Disease Prediction**
+- Symptom-based disease prediction using AI
+- Multi-symptom selection interface
+- Preliminary diagnosis suggestions
+- Comprehensive symptom database
+- Medical disclaimers and safety recommendations
+
+### 🔍 **AI Skin Analysis**
+- Upload skin images for instant AI-powered disease detection
+- High accuracy analysis with confidence scores
+- Support for JPG, JPEG, and PNG formats
+- Detailed prediction results with visual feedback
+
+### 💬 **Smart Medical Chatbot**
+- Interactive symptom analysis
+- Personalized medical guidance
+- Comprehensive symptom tracking
+- Professional medical recommendations
+
+### 🌐 **Multilingual Support**
+- Available in English, Hindi (हिन्दी), and Marathi (मराठी)
+- Complete interface translation
+- Rural area accessibility focus
+- Language persistence across sessions
+
+### 👤 **User Management**
+- Secure user registration and authentication
+- Password hashing with bcrypt
+- Personal dashboard with analysis history
+- User profile management
+
+### 📊 **Dashboard & Analytics**
+- Personal analysis history tracking
+- User statistics and metrics
+- Community user overview
+- Real-time progress indicators
+
+### 🎨 **Modern UI/UX**
+- Beautiful gradient designs
+- Responsive layout
+- Interactive components
+- Professional medical theme
+- Mobile-friendly interface
+
+## 🚀 Getting Started
+
+### Prerequisites
+- Python 3.8 or higher
+- pip package manager
+
+### Installation
+
+1. **Clone the repository**
+   ```bash
+   git clone <repository-url>
+   cd skinalyze
+   ```
+
+2. **Install dependencies**
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+3. **Run the application**
+   ```bash
+   streamlit run app.py
+   ```
+
+4. **Access the app**
+   Open your browser and navigate to `http://localhost:8501`
+
+## 📦 Dependencies
+
+- **streamlit** - Web application framework
+- **sqlite3** - Database management
+- **bcrypt** - Password hashing
+- **gradio-client** - AI model integration
+- **Pillow** - Image processing
+- **plotly** - Interactive visualizations
+- **pandas** - Data manipulation
+- **joblib** - Model serialization
+- **scikit-learn** - Machine learning models
+
+## 🏗️ Project Structure
+
+```
+health-assistant/
+├── app.py              # Main application file
+├── requirements.txt    # Python dependencies
+├── README.md          # Project documentation
+├── database.db        # SQLite database (auto-created)
+├── temp/              # Temporary image storage (auto-created)
+├── model/             # ML model files directory
+│   ├── maternal_risk_model.joblib      # Maternal health model
+│   ├── disease_model.joblib            # Disease prediction model
+│   ├── disease_label_encoder.joblib    # Disease label encoder
+│   └── README.md                       # Model documentation
+└── database/          # Training data directory
+    ├── Training.csv                    # Symptom-disease dataset
+    └── README.md                       # Data documentation
+```
+
+## 🔧 Configuration
+
+The application uses SQLite database for user management and stores temporary images in the `temp/` directory. Both are created automatically when the app runs for the first time.
+
+## 🎯 Usage
+
+### 1. **Language Selection**
+- Choose your preferred language from the sidebar
+- Available: English, Hindi (हिन्दी), Marathi (मराठी)
+- Language preference persists throughout the session
+
+### 2. **Registration & Login**
+- Create a new account or login with existing credentials
+- Secure password hashing ensures data protection
+
+### 3. **Maternal Health Risk Assessment**
+- Navigate to "Maternal Health Risk" page
+- Enter patient vitals (Age, BP, Blood Sugar, Temperature, Heart Rate)
+- Click "Assess Risk Level" for AI-powered risk analysis
+- View risk categorization and recommendations
+
+### 4. **Disease Prediction**
+- Access the "Disease Prediction" page
+- Select multiple symptoms from the comprehensive list
+- Click "Predict Disease" for preliminary diagnosis
+- Review AI predictions with medical disclaimers
+
+### 5. **Skin Analysis**
+- Navigate to "Skin Analysis" page
+- Upload a clear image of the skin area
+- Click "Analyze Image" for AI-powered detection
+- View detailed results with confidence scores
+
+### 6. **Medical Chatbot**
+- Access the "Medical Chatbot" page
+- Fill in comprehensive symptom information
+- Receive personalized medical guidance
+- Get professional recommendations
+
+### 7. **Dashboard**
+- View your complete analysis history
+- Track personal health statistics
+- Access quick actions for all features
+- Monitor account information
+
+## ⚠️ Medical Disclaimer
+
+This application is for informational purposes only and should not replace professional medical advice. Always consult with a healthcare professional for proper diagnosis and treatment.
+
+## 🔒 Privacy & Security
+
+- User passwords are securely hashed using bcrypt
+- Personal data is stored locally in SQLite database
+- Images are temporarily processed and automatically deleted
+- No personal medical information is shared with third parties
+
+## 🤝 Contributing
+
+We welcome contributions! Please feel free to submit issues, feature requests, or pull requests.
+
+## 📄 License
+
+This project is licensed under the MIT License - see the LICENSE file for details.
+
+## 📞 Support
+
+For support or questions:
+- Email: support@skinalyze.com
+- Create an issue in the repository
+- Check the documentation
+
+---
+
+**Made with ❤️ using Streamlit**
+
+🔬 **Skinalyze** - Revolutionizing skin health through AI-powered analysis