The Car Price Prediction App is a Python-based application that utilizes machine learning techniques, specifically a Linear Regression model, to predict the prices of cars based on various features such as make, model, mileage, etc. Users can input details about a car into the application, and it will provide them with an estimated price prediction. This application can be helpful for individuals looking to buy or sell cars, as it provides a quick and convenient way to get price estimates based on relevant features. The project also includes model training, where the Linear Regression model is trained using a dataset containing car features and their corresponding prices. The scikit-learn library is used for model training.
This is the UI of the App