Car Trading Using Blockchain & Artificial Intelligence

Abstract

Due to the increase in demand for buying and selling of used vehicles, people face the problem of trading. Hence, there is a need to cut out the mediator from the process and ease it by creating a virtual interface. Sometimes buying a used vehicle does not meet our expectations of price, color, model, customization, etc. The paper aims to provide an overall system for users that will ease the process of buying and selling which will indirectly make seamless verifications through registration authorities. This paper provides an overview of how such an interface will help people to meet the above expectations, along with estimating the cost of vehicles being sold. This interface is a combination of technologies like Artificial intelligence and Blockchain. The dataset with parameters like selling price, kilometres driven, mileage, etc was used. Redundant and missing values are removed during data processing. The model is trained using K-Nearest Neighbours supervised learning algorithm and the selling price of the vehicle is predicted with an accuracy of 95% approximately. Data security is very important here, so to ensure this, the proposed project is implemented using Blockchain which also maintains data transparency. It is like an immutable ledger that increases data reliability.