A web-based application for the sale of used cars which predicts market values

Abstract

Ghana's vehicle market is dominated by used cars. For a variety of reasons, most Ghanaians prefer to acquire secondhand automobiles rather than new ones. One issue that Ghanaians experience is that the cost of secondhand cars is increasing and has been increasing over time. The Ghana Revenue Authority imposes taxes and levies on vehicles when they are imported into the nation, the Ghana Cedi's depreciation, and profit-minded vendors who like to sell their used vehicles near to the original purchase price are some of the reasons for this increase. Buyers who have no idea how autos are priced are frequently duped in transactions. This project aims to make the Ghanaian automobile sales industry fairer by predicting the correct market value for various vehicles. Buyers will be able to see which cars are overpriced, and suppliers will be able to avoid overpricing their vehicles. The market values will be calculated using a machine learning model based on current market prices. The model is embedded in a web application for the sale of used automobiles, and it predicts the market value of vehicles listed on the application.