Face condition analyzer

A Flutter application that uses real-time facial recognition to detect and analyze emotions from the device's camera.

• Real-time emotion detection using device camera
• Mood tracking with confidence levels
• Lighting condition analysis for optimal detection
• History view to track emotional patterns over time
• Advanced metrics showing face condition, confidence, and processing rate
• Beautiful UI with mood-specific colors and animations

Installation

1. Clone the repository:

   git clone https://github.com/TejasBaid/face-condition-detection.git

2. Navigate to the project directory:

   cd face-condition-detection

3. Install dependencies:

   flutter pub get

4. Run the app:

   flutter run

Requirements

• Flutter 2.5.0 or higher
• Dart 2.14.0 or higher
• Camera-enabled device (physical device recommended for best results)
• iOS 11.0+ / Android 5.0+

Technologies Used

• Flutter
• Camera API
• ML Kit for facial recognition (implied from code)
• Custom animations

How It Works

1. The app accesses your device's camera
2. It analyzes facial expressions in real-time
3. Advanced algorithms detect your current emotional state
4. Results are displayed with confidence levels and conditions
5. History is stored locally for future reference

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

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

License

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