1. A method for detecting drowsiness state of a vehicle user, the method comprising: receiving, by a drowsiness detection system, one or more current images of the vehicle user from an image capturing device associated with the drowsiness detection system in a current time frame; determining, by the drowsiness detection system, an eye closure ratio of the vehicle user in the current time frame using one or more eye closure parameters extracted from the one or more current images in real-time, and a profile of the vehicle user received from a user profile database associated with the drowsiness detection system; normalizing, by the drowsiness detection system, the eye closure ratio using a scaling factor computed in real-time, wherein the scaling factor is computed using one or more normalizing parameters extracted from the one or more current images in real-time and the profile of the vehicle user; determining, by the drowsiness detection system, a Percentage Eye Closure (PEC) value of the vehicle user in the current time frame using the normalized eye closure ratio of the vehicle user; and comparing, by the drowsiness detection system, the PEC value of the current time frame and PEC values of plurality of previous time frames with a predefined threshold to detect drowsiness state of the vehicle user.