This Python script utilizes computer vision to create an eye-tracking mouse control system. The script uses the MediaPipe library for face mesh detection and PyAutoGUI for mouse control.

• Python 3.x
• OpenCV
• MediaPipe
• PyAutoGUI

1. Install the required dependencies:

   pip install opencv-python mediapipe pyautogui

2. Clone the repository:

   git clone https://github.com/rajiv2004-cloud/Eye-Control-Mouse.git
   cd eye-control-mouse

1. Run the script:

   python eye_control_mouse.py

2. Adjust the camera to have a clear view of your face.

3. Move your eyes to control the mouse cursor.

4. Blink both eyes simultaneously to perform a click.

• Real-time eye tracking for mouse control.
• Blink detection for mouse clicks.
• Dynamic adjustment of mouse sensitivity based on eye movement.
• On-screen visualization of eye and click points.

• Modify the screen_x and screen_y variables to adjust the initial mouse cursor position.
• Adjust the sensitivity factor in the mouse movement calculations for personalized control.

• The script may require fine-tuning for different lighting conditions.
• Blink detection sensitivity may need adjustment based on individual user behavior.

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and submit a pull request.

• The script uses the MediaPipe library for face mesh detection.
• PyAutoGUI is used for mouse control.

Feel free to customize the README file further based on your project's specific details and requirements.