IoT Based Automatic Vehicle Accident and Rash Driving Alert System

As we all know; a majority of accidents, which happens, are due to rash driving. Reckless driving is the primary cause of most accidents. Rash driving might include sudden variations in speed, a pattern of path changes, and more and more. Individuals or youth generation are most at risk from reckless driving. The number of accidents is growing continuously due to the increase of cars. Authorities are finding it increasingly impossible to stop or lessen these deadly accidents on the road or highway, and their efforts are futile. Therefore, our plan is to design a module that can identify the car if it is being driven recklessly or faster than the legal limit and provide the information to the appropriate authority. In this article, we suggest a highly effective methodology for early identification. The idea of detecting bike accidents is not new, and the automotive manufacturers have made significant progress to improve the technology. The goal of the article is to contribute in that area of innovation.