PRICE PREDICTION WITH CAR RECOGNITION

Abstract

The used car market is an ever-rising industry, which has almost doubled its market value in the last few years. The emergence of online portals such as, OLX and Pakwheels and many others has facilitated the need for both the customer and the seller to be better informed about the trends and patterns that determine the value of the used car in the market. Machine Learning algorithms can be used to predict the retail value of a car. based on a certain set of features. Automated vehicle recognition and price prediction are two interesting problems encountered within the automotive industry. The ability to accurately identify a vehicle within an image is extremely useful in many areas including intelligent transport systems and autonomous driving. The main objective of this project is to use three different prediction models to predict the retail price of a used car and compare their levels of accuracy. The data set will be used for the prediction models will be collect from experienced car dealers.