Samanyu B Rao

Conference paper describing a Flask-based web application leveraging regression and ensemble machine learning models (linear, ridge, lasso, elastic net, neural network, XGBoost, Random Forest) to estimate fuel consumption and CO2 emissions, identify best-performing models for predictions, and enable comparison of vehicle specifications.

Abstract and paper entry for the Sustainable Mobility Tracker project describing the ML-based web application for predicting fuel consumption and CO2 emissions and providing vehicle comparisons.