This project combines eye-tracking technology with voice recognition to create an interactive system that allows users to control their computer using eye movements and voice commands.
- Eye Tracking: The system uses a webcam and the MediaPipe library to track eye movements, allowing users to move the mouse cursor with their eyes and perform actions such as clicking by blinking.
- Voice Recognition: Utilizes the SpeechRecognition library to recognize voice commands spoken by the user. Commands include opening applications, performing system actions (e.g., shutdown, restart), controlling volume/brightness, and more.
- Integration with PyAutoGUI: PyAutoGUI is used to simulate mouse clicks, keyboard inputs, and system controls based on the user's eye movements and voice commands.
- Python 3.x
- OpenCV (pip install opencv-python)
- MediaPipe (pip install mediapipe)
- PyAutoGUI (pip install pyautogui)
- SpeechRecognition (pip install SpeechRecognition)
- Make sure to run the scripts in a well-lit environment for optimal eye tracking accuracy.
- Calibration may be required for accurate eye movement detection.
- Voice commands should be spoken clearly and in a language supported by the SpeechRecognition library.
