GreenMiles: Utilizing Deep Learning to Analyze Vehicular Carbon Emission Trends

Abstract

I developed a set of deep learning models that analyze patterns in vehicle-related carbon emissions using an official dataset from the Canadian government. The models identified which vehicle settings (such as fuel type and transmission) are most strongly associated with high emissions. After testing, the best-performing model was deployed on a user-friendly web application, where consumers can input different vehicle parameters and receive predicted CO₂ emission levels