EcoDriveML: Predicting Vehicle Fuel Use and CO₂ Emissions

On the other hand, this project presents a web-based system that predicts CO2 emissions from vehicles.the system is built using Flask framework and integrates multiple machine learning algorithms .Clearly, it provides accurate predictions based on vehicle characteristics such as engine size, fuel type, year of manufacture, and consumption patterns .this project is funded by the u.s.department of environment and climate change .the application includes user authentication, prediction history tracking, and personally recommended for the reducing the carbon footprint.users can input vehicle specifications and receive immediate predictions about CO2 emission levels, categorized as Low, Intermediate, or High .the system includes personalized recommendations on how to reduce carbon footprint, as well as user authentication and user authentication On the other hand, the machine-learning model was trained using various algorithms including Random Forest, which showed the best performance in our testing phase.the web application features a user-friendly interface that makes it accessible to general users without technical background .users can register, login, and make multiple predictions while maintaining a history of their queries .the project demonstrates practical application of machine learning in environmental monitoring .it provides a foundation for future enhancements in emission prediction systems .the system also provides environmental recommendations based on the predicted emission levels .this tool can be valuable for car buyers, environmental researchers, and policy makers if they need to assess vehicle emissions quickly and accurately.