Abstract: These days, an ever-increasing number of professions require long time focus. Drivers should watch out for the street, so they can respond to abrupt occasions right away. Due to driving for a long time or intoxication, drivers might feel sleepy, which is the biggest distraction for them while driving. This distraction might cost the death of the driver and other passengers in the vehicle, and at the same time, it also causes the death of people in the other vehicles and pedestrians too. To prevent such accidents, we propose a system that helps to alert the driver if he/she feels drowsy. To accomplish this, we implement the solution using a computer-vision-based machine learning model. The driver’s face is detected by a face recognition algorithm continuously using a camera, and the face of the driver is captured. The face of the driver is given as input to a classification algorithm which is trained with a data set of images of drowsy and non-drowsy faces. The algorithm uses landmark detection to classify the face as drowsy or not drowsy. If the driver’s face is drowsy, a voice alert is generated by the system. This alert can make the driver aware that he/she is feeling drowsy, and the necessary actions can then be taken by the driver. This system can be used in any vehicle on the road to ensure the safety of the people who are traveling and prevent accidents that are caused due to the drowsiness of the driver