A web-based application for the sale of used cars which predicts market values
Date
2022-05
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
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.
Description
Applied project submitted to the Department of Computer Science and Information Systems, Ashesi University, in partial fulfillment of Bachelor of Science degree in Computer Science, May 2022
item.page.type
Applied project