A car price prediction application for SAP internal Machine Learning Hackathon.
It predicts the price of used cars given some continous and discrete input values.
It follows a client server architecture where the server is designed using Python in the Flask framework and the client is designed using JavaScript and HTML. A Random forest regressor Machine Learning Algorithm is used in the back end for makind the prediction