Facial Expression Recognition

Real-Time Facial Expression Recognition using TensorFlow.js (TFJS) and FaceAPI.js.

Overview

This project implements a real-time facial expression recognition system leveraging TFJS and FaceAPI.js. It detects human faces in live video streams and classifies their expressions into various categories, enhancing applications in human-computer interaction and emotion analysis.

Repository Contents

• .vscode/: Visual Studio Code configuration files.
• models/: Pre-trained models used for facial detection and expression recognition.
• face-api.min.js: Minified version of the FaceAPI.js library.
• index.html: Main HTML file serving as the application's entry point.
• script.js: JavaScript file containing the core logic for face detection and expression recognition.

Requirements

• Modern web browser with JavaScript enabled.
• Internet connection to load external libraries and models.

Setup Instructions

1. Clone the Repository:

   git clone https://github.com/AkshadK7/Facial-Expression-Recognition.git
   cd Facial-Expression-Recognition

2. Serve the Application:

   • Use a local server to serve the index.html file. You can use Python's built-in HTTP server:

     # For Python 3.x
     python -m http.server 8000

     Then, navigate to http://localhost:8000 in your web browser.

3. Access the Application:

   • Ensure your device has a webcam enabled.
   • Open the served index.html in a modern web browser.
   • Grant the browser permission to access the webcam when prompted.

Usage

• The application will access your webcam and display the video feed.
• Detected faces will be highlighted, and their corresponding expressions will be labeled in real-time.
• Supported expressions include happiness, sadness, anger, surprise, and more.

Live Demo

Experience the application live at: face-expression-recognition.netlify.app

License

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

Acknowledgements

Special thanks to the developers of FaceAPI.js and the contributors to the TensorFlow.js community for their invaluable tools and support.

*Note: Ensure that your browser supports WebRTC and has permissions to access the webcam for the application to function correctly.*