Vehicular Assistance Using ML Algorithm

Every year, both the volume of traffic on the roads and traffic collisions are increasing yearly, and small private automobiles are primarily to blame. Therefore, it's vital to improve the awareness of traffic safety to them and to create a system to look into mechanical problems that provide the technical framework to forecast and assist in the risks to vehicle safety. In this paper we have proposed a machine learning algorithm that will help the drivers to find out the nearest mechanical shop, also with the specialized service providers according to the kind of mechanical problem occurrence of the breakdown. When they feed the kind of problem in the system, our algorithm will identify the nature of the problem and search relevant database information of the closest available mechanical shop and its specialized service providers details based on their problems. As the side of the service, the user feedback is collected and updated in the databases to train the dataset. In further the updated information, trained with the available data sets and updated for the future offer of specialized services.