Welcome to our drowsiness detection project using Python and the powerful dlib library! 😴 This repository hosts a user-friendly implementation to detect drowsiness in real-time using your computer's webcam. Our easy-to-understand Python code utilizes the dlib library's advanced facial landmark detection to monitor facial cues and alert users when signs of drowsiness are detected.

• Real-time Detection: Instantly monitors your facial features to detect signs of drowsiness in real-time.
• Simple Implementation: Easy-to-follow Python code for quick setup and usage.
• Webcam Integration: Works seamlessly with your computer's webcam for immediate testing.
• Customizable Thresholds: Adjust detection sensitivity to suit different scenarios and individuals.
• Clear Documentation: Detailed explanations and comments for each step to aid understanding and customization.

1. Clone Repository: Download or clone the repository to your local machine.
2. Install Dependencies: Install necessary libraries (dlib, OpenCV, etc.) using provided instructions.
3. Run the Code: Execute the Python script and observe real-time drowsiness detection.
4. Customize & Experiment: Tweak parameters and thresholds to adapt to different conditions.

Feel free to contribute by suggesting improvements, reporting issues, or adding new functionalities. Together, let's enhance drowsiness detection for a safer environment!

We believe in keeping things simple yet effective. Join us in preventing drowsiness-related accidents with this accessible dlib-based drowsiness detection solution. Happy coding! 🚀✨