This project uses ensemble learning techniques to predict air quality in smart cities. By combining different machine learning models like Random Forest, XGBoost, and Decision Trees, the system can provide more accurate predictions. The project also includes a user-friendly dashboard to display real-time and forecasted air quality data for city officials and citizens.
Call us now: +1(800) 123 4567
Email: oesus@support.com