With increase in the use of advanced systems on vehicle dashboards such as modern infotainment systems and mobile phones, we have come to observe a proportional increase in the distraction of drivers. Distracted driving has proven to be a vital cause for most modern-day road crashes due to lane variation, and inattention on the road. Hence, efficient mechanisms to tackle this problem have to be studied and developed. So far, many attempts have been made on the identification of distracted driving in the form of computer vision techniques and ML/DL approaches. This research effort suggests numerous approaches to assess driver behaviour and identify alleged distractions, thereby offering robust solutions to reduce distracted driving-related traffic accidents.