fuel-efficiency

Enhancing Spatiotemporal Supply Chain Forecasting Using Virtual Node-Augmented Graph Diffusion for Improved Fuel Efficiency

A Python tool to check vehicle fuel efficiency and convert between MPG, km/l, and L/100km.

A regression-based machine learning model developed to predict vehicle fuel efficiency (MPG) based on technical specifications and historical performance data.

A Django REST Framework API that computes optimal, cost-efficient fuel-stop plans for long-haul US trucking routes.

Intelligent route optimization platform using ensemble ML models (XGBoost, LightGBM, CatBoost) to minimize fuel consumption and carbon emissions. Full-stack Python/React app with FastAPI, PostgreSQL, and Optuna-powered hyperparameter tuning.

Automatically generate urban-like test cases and evaluate the fuel-inefficiency of any driving behaviour.