An innovative Flutter-based application for detecting facial expressions and analyzing mood using Google ML Kit. This app captures an image from the camera or gallery, processes it using machine learning models, and classifies the mood into predefined categories: happy, normal, sad, and angry. The project is designed with a clean, animated UI, powered by the GetX state management library.
- Real-time Face Detection: Utilizes Google ML Kit for facial analysis and mood classification based on the smiling probability.
- Mood Categories: Classifies moods into "Happy," "Normal," "Sad," and "Angry" with confidence levels displayed for each detection.
- Responsive & Animated UI: Smooth animations with
GetXcontrollers for circle transitions and text animations. - Loading Screen: A visually appealing loading screen to enhance user experience while processing images.
- Supports Camera and Gallery Inputs: Flexible options for capturing an image from the camera or selecting from the gallery.
- Flutter: 3.0 and above
- Google ML Kit:
google_ml_kit(for face and emotion detection) - GetX: For state management and animations
- Image Picker: For selecting images from camera or gallery
Contributions are welcome! Feel free to open issues or submit pull requests to improve this project.
To get started with this project, clone the repository and ensure you have Flutter and the necessary dependencies installed.
git clone https://github.com/username/face-mood-detection.git
cd face-mood-detection
flutter pub get
flutter run