Real-Time Emotion Recognition Engine

This repository contains the source code for a real-time facial emotion recognition engine built using JavaScript. The software is designed to detect and recognize human facial emotions in real-time video streams.

Table of Contents

• Features
• Technologies Used
• Setup
• Usage
• Contributing
• License
• Contact

Features

• Face detection: This softare will detect human faces in live video streams.
• Facial emotion recognition: Includes facial emotion recognition capabilities, allowing it to recognize known facial emotions from a pre-trained database. It can match detected faces with known facial emotions based on facial features, and it can identify the recognized facial expression with labels or names.
• Real-time detection: Supports real-time facial emotion detection and recognition in video streams, allowing it to be used for live applications, such as video surveillance, access control, or user authentication.
• User-friendly interface: Provides a user-friendly interface for configuring settings, managing the recognition database, and visualizing the detected and recognized faces. It may include a graphical user interface (GUI) or a web-based interface for easy interaction.

Technologies Used

• JavaScript: The software is built using JavaScript, a popular programming language for web development and machine learning.
• Face detection and recognition libraries: Utilizes existing JavaScript libraries for face detection and recognition, such as face-api.js, tensorflow.js, or OpenCV.js.
• Web-based interface: The software includes a web-based interface, which uses HTML, CSS, and other web technologies for rendering the user interface and displaying the detected and recognized faces.

Setup

To set up the facial recognition software locally, follow these steps:

1. Clone the repository to your local machine using the following command:

   git clone https://github.com/pharaohmak/real-time-emotion-recognition-engine.git

2. Navigate to the project directory:

   cd real-time-emotion-recognition-engine

3. Install any dependencies or libraries required for the software:

   npm install

4. Configure the recognition database, if applicable, with known faces and labels.
5. Run the software using the provided scripts or commands, and follow any instructions for usage.

Usage

After setting up the software, you can start the application by running:

npm start

Open your web browser and navigate to http://localhost:3000 to access the user interface. Follow the on-screen instructions to use the facial recognition features.

Contributing

If you would like to contribute to the project, please follow these steps:

1. Fork the repository to your own GitHub account.
2. Create a new branch from the main branch with a descriptive name for your changes.
3. Make your changes to the code and test them thoroughly.
4. Submit a pull request to the main branch of the original repository.
5. Provide a clear description of the changes made and any relevant information for review.

Code Style

Please follow the existing code style and conventions. Ensure your code is well-documented and formatted.

Testing

Make sure to write tests for your changes and ensure all existing tests pass.

License

This facial recognition software is open source and available under the MIT License.

Contact

For any inquiries or questions, please contact the project owner at me@findmak.com.

Thank you for your interest in the Real-Time Emotion Recognition Engine!