Prediction Of Used Car Prices Using Artifical Neural Networks And Machine Learning

With the extensive growth in usage of cars, the newly produced cars are unable to reach the customers for various reasons like high prices, less availability, financial incapability, and so on.Hence the used car market is escalated across the globe but in India, the used car market is in a very nascent stage and mostly dominated by the unorganized sector.This gives chance for fraud while buying a used car.Hence a high precision model is required which will estimate the price of an used car with none bias towards customer or merchandiser.In this model, A Supervised learning-based Artificial Neural Network model and Random Forest Machine Learning model are developed which can learn from the car dataset provided to it.This project presents a working model for used car price prediction with a low error value.A considerable number of distinct attributes are examined for reliable and accurate predictions.The results obtained agree with theoretical predictions and have shown improvement over models which use simple linear models.