Car-Price-Predictor

The project involves developing a car price prediction system using a RandomForest model integrated with a Tkinter-based GUI. Users input car features like year, brand, model, distance, fuel type, city, and car age. The system preprocesses and encodes this data to match the model’s training format, predicts the car's price, and displays the result. The project demonstrates machine learning model deployment with a user-friendly interface for real-time predictions.