One of the major technical challenges in the automotive industry is the development of safety features to prevent drunk and drowsy driving. Driving while drunk or drowsy, especially in modern age, is a major reason behind road accidents. Driving when drowsy can result in a higher risk of crash than in alert condition. Therefore, by using assistive systems to monitor driver's level of alertness can be of significant help in prevention of accidents. This paper aims towards the detection of driver's drowsiness using the visual features approach along with drunk detection using alcohol sensor. Driver drowsiness is based on real-time detection of the driver's head, face and mouth. The system will also have an alcohol detection sensor which will determine whether the driver is drunk or not, thus covering the major reasons behind road accidents.