To develop a machine learning model that predicts the selling price of used cars based on various features such as brand, model, age, fuel type, transmission type, mileage, engine capacity, and more. The goal is to help buyers and sellers get a fair and competitive market price, improving transparency and efficiency in the used car market.

Tools & Technologies:

Programming Languages: Python Libraries: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn Algorithms: Linear Regression, Random Forest, Gradient Boosting Frameworks (Optional): Flask or Django for deployment