Fatigue detection plays a crucial role in preventing accidents, especially in transportation systems where driver alertness is essential. This project proposes a Fatigue Monitoring Detection System using Artificial Intelligence and Machine Learning to identify early signs of drowsiness in real time. The system is designed to be non-intrusive and continuously monitors the driver’s facial features using a camera. The proposed system utilizes computer vision and machine learning techniques to analy