😊 Auto-Selfie for Smiling Face 📸

This project is a simple Python application designed to automatically take a selfie when a smile is detected on your face. Using OpenCV and Mediapipe, it tracks facial landmarks and captures a selfie when a smile is detected.

🎯 About the Project

• Face Tracking: Facial landmarks are tracked using Mediapipe.
• Smile Detection: The distance between the corners of the mouth is calculated. If this distance exceeds a certain threshold, it is considered a smile.
• Auto-Selfie: When a smile is detected, the application captures a selfie and saves it as selfie.png.
• Sound Feedback: A sound effect (success.wav) is played when a smile is detected.

🚀 How It Works

1. Clone the repository:

git clone https://github.com/username/auto-selfie.git
cd auto-selfie

2. Install the required dependencies:

pip install opencv-python
pip install mediapipe
pip install winsound

3. Add the "success.wav" sound file to the project directory.

4. Run the application:

python auto_selfie.py

🛠 Requirements

• Python 3.x
• OpenCV
• Mediapipe
• Winsound
• Windows (as the winsound module is used)

📝 License

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