The major approach of this paper is to develop a system for detecting drivers’ drowsiness to prevent accidents caused by drivers falling asleep not only by lack of sleep but can also due to medications, drinking alcohol, shift work or untreated sleep disorders. To avoid these kinds of activities, a warning sound or an alarm would be produced to alert the drivers while driving which helps them concentrate on the road. To implement this method, machine learning techniques have been used. Detecting Drowsiness can be done with the help of cameras by detecting the driver’s facial expressions and extracting the driver’s eye image. This paper gives you a real-world idea of how the detection system using machine learning could be reasonable and effective.