A driver drowsiness detection system using Convolutional Neural Networks (CNN). Our system uses deep learning algorithms to analyze the driver's facial features and detect signs of drowsiness, such as yawning or drooping eyelids. When the system detects drowsiness, it triggers an alarm sound to alert the driver and prevent potential accidents caused by fatigue. Our project is designed to enhance road safety and provide a reliable solution to reduce the risks associated with driving while drowsy. We believe that our project has the potential to make a significant impact on road safety and improve the lives of drivers everywhere. Our team is committed to continuing to refine and improve this technology to make it even more effective in the future.