In India, a driving test consists of only a short duration test on an empty track which does not really assess a person’s driving skills when it comes to driving on an actual road. Figures tell that on an average, 415 deaths are recorded per day in road accidents in India. This is relatively a very high number and there is an urgent need to address this issue. On studying the situation carefully, it is observed that the most common reasons for the increasing road accidents in India are distracted driving, over-speeding, not wearing seat belts, breaking traffic rules and tailgating. As pointed out earlier, the driving test conducted to grant a license is not enough to know a person’s driving capability and thus, there has to be an additional test in order to monitor the person in a much more realistic and natural environment. With the advancements in technology, this task is highly feasible. Sensors to monitor tailgating, drowsiness detection system to check alertness, deep learning models to detect distraction caused by the use of mobile phones, belt and speed sensors together can be fitted on cars and the candidate put under observation for a period of 1–2 days. Certain parameters that the candidate has to pass in order to obtain the license are laid. The process being fully automated is faster and more wholesome as it monitors the candidate’s actual driving on a road.