Abstract: This project aims to develop a predictive model to determine the selling price of cars based on various input variables, such as make, model, year, mileage, and transmission type. To achieve this goal, linear regression has been employed. The model produced an R-squared score of 0.95. The input variables of a car can be processed by the model and produce a estimated selling price.