This project implements a real-time drowsiness detection system that uses a webcam feed to monitor eye activity to determine if a person is active, drowsy, or asleep. It leverages the OpenCV library for image processing, dlib for face detection and facial landmark prediction, and imutils for handling facial landmarks.