The Mood Mirror App is a face Detection App is a web application that uses HTML, CSS, and JavaScript to capture and analyze facial expressions in real-time. This app utilizes a web browser's built-in camera functionality to access the user's webcam and process the video feed to detect facial features and emotions.

• Real-time face detection: The app continuously captures the video feed from the user's webcam and detects faces in real-time.
• Facial expression analysis: The app utilizes facial recognition algorithms to identify and analyze the user's facial expressions, such as happy, sad, surprised, angry, etc.
• User-friendly interface: The application provides a simple and intuitive user interface for a smooth user experience.

The Face Detection App is developed using the following technologies:

• HTML: For creating the structure and layout of the web application.
• CSS: For styling the user interface and making it visually appealing.
• JavaScript: For implementing the face detection and facial expression analysis functionality.

To use the Face Detection App, follow these steps:

1. Clone the repository to your local machine or download the source code as a ZIP file.
2. Open the index.html file in your web browser. Make sure your browser supports webcam access.
3. Allow the app to access your webcam when prompted by the browser.
4. The app will start capturing the video feed from your webcam and detecting your facial expressions in real-time.

Please note that for the app to work correctly, you need to have a webcam connected to your device, and your browser should support the necessary APIs for accessing the camera.

If you want to contribute to the Face Detection App or modify it according to your needs, follow these steps:

1. Fork the repository to your GitHub account.
2. Clone the forked repository to your local machine.
3. Make the necessary changes using your preferred code editor.
4. Test the changes in your web browser and ensure everything works as expected.
5. Commit your changes and push them to your forked repository.
6. Create a pull request from your forked repository to the original repository.

The Face Detection App is built upon various open-source libraries and technologies. We would like to acknowledge the contributions of the following projects:

• Face-API.js: A JavaScript face detection and recognition library.
• HTML Media Capture: The W3C specification for accessing media devices, including webcams, in HTML.

The Face Detection App is licensed under the MIT License. Feel free to use, modify, and distribute the app as per the terms of the license.

By following this guide, you should be able to set up and use the Face Detection App. Whether for personal use or educational purposes, this app can be a fun and interesting project to explore the capabilities of facial detection and analysis using web technologies.