The world is becoming automated day by day in each and every aspect. The technological approaches to solve every human problem are evolving at a great interest in this rapid advancing environment. Automated houses, cars(for instance, Tesla self-driving cars), machinery, industries can be considered as the progressive outcomes which made the human life comfort, safe and easy. Although, there exist numerous situations that are damaging and the lives of people miserably . One of those circumstances is “Road Accidents”. There may be many reasons for this problem where “Driver fatigue” is one of those. “Each year, around 1.5 lakh people die in road mishaps in India.” –The Times of India[17]. To mitigate these accidents, we develop a model based on Convolutional Neural Networks (CNNs), Deep Learning which can detect the sleepiness or fatigue and notify the driver(or the person who is driving). In this paper, we developed a model using CNN classifier that identifies whether a driver is sleepy or not. The model here also provides an alerting alarm when the driver is sleeping (whenever he/she closes eyes). The proposed model is also evaluated using large amount of data to increase its accuracy and correctness while detecting the person’s drowsiness.