A novel Approach of Car Recommendation using Machine Learning Algorithm

This research paper explores the system which is used to recommend car to the users based on the requirement provided by the user. Various requirement of users while choosing a car such as capacity of car, fuel type, and budget are considered and based on that various recommendations are given to user. These recommendations are suggested by using machine learning techniques and different visualization options are available, in order to provide user detailed analysis based on different parameters. The online check option is also available which makes system more supportive and compare different models based on various parameters. The system enables users to choose among plenty of options and select the best suited model.