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

The Sleep Drowsiness Detection System is a project designed to monitor and detect drowsiness in individuals, especially drivers, to prevent accidents caused by falling asleep at the wheel. The system uses Python along with computer vision and image processing techniques to track the user's eye movements and facial expressions in real-time.

Sure, here's a concise description for your Git repository: --- # Driver Sleep Detection A real-time system that monitors driver behavior using computer vision and machine learning to detect drowsiness. It analyzes eye blinks, head movements, and yawning to provide timely alerts, enhancing road safety. Implemented in Python.