Car Price Prediction System

Car Price Prediction System

A Machine Learning application designed to predict the price of a car based on multiple input features. The system helps users, businesses, and dealerships make informed decisions by providing accurate and data-driven price estimations.

Project Overview:

The system takes different features of a car such as:

Make/Brand (e.g., Toyota, BMW, Ford)

Model

Year of Manufacture

Fuel Type (Petrol, Diesel, Electric, Hybrid)

Transmission Type (Manual, Automatic)

Engine Capacity / Horsepower

Mileage / Kilometers Driven

Location / Market Factors

Using these inputs, the model predicts the car’s estimated price with high accuracy.