The objective of this project is to develop a predictive model that accurately forecasts the selling prices of used cars based on various features such as year of manufacture, kilometers driven, fuel type, seller type, transmission, ownership, mileage, engine capacity, and maximum power. By employing regression analysis techniques, this project aims to provide valuable insights into the factors that influence car prices and to create a reliable tool for predicting the market value of used cars.