Emotion Detection using TensorFlow Lite (TFLite)

Overview

This Flutter project utilizes TensorFlow Lite (TFLite) to detect the emotion of the user through the camera. It employs a pre-trained deep learning model for real-time emotion recognition.

Features

• Real-time emotion detection using the device's camera.
• Efficient TensorFlow Lite integration for on-device inference.
• Simple and intuitive UI for ease of use.

Demo

Requirements

• Flutter SDK
• TensorFlow Lite Flutter plugin
• Android Studio / Xcode for deployment

Installation

1. Clone the repository:

   git clone https://github.com/Shubham-Zone/Emotion-detection-using-tflite.git

2. Navigate to the project directory:

   cd Emotion-detection-using-tflite

3. Run the application:

   flutter run

Usage

1. Open the application on your device.
2. Grant necessary permissions for camera access.
3. Point the camera towards a face.
4. The detected emotion will be displayed on the screen in real-time.

Contributing

Contributions are welcome! Feel free to open issues and pull requests.

License

This project is licensed under the MIT License.

Acknowledgements

• TensorFlow Lite team for their powerful framework.
• Flutter community for their support and contributions.
• Icons made by Freepik from www.flaticon.com.