Car Price Predictor using ML

• A RandomForestRegressor model was trained on the CarDekho dataset from Kaggle post basic feature engineering.
• Hyperparameter tuning was performed for better model accuracy.
• The jupyter notebook containing the model was integrated to the Flask backend using pickle, after which it was deployed as a web-app on Heroku.

Tools: Python, Jinja2 template engine, Flask framework, NumPy, pandas, sklearn, HTML and CSS.

Visit the live app at : https://car-price-predictor-pm.herokuapp.com/