fuel-efficiency

The monorepo for the fully free and open source full-stack Car Costs Calculator for more than 30 countries

AI-powered maritime weather intelligence for safe navigation, route optimization, and fuel-efficient marine operations.

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

Free browser-based dashboard for daily weather & natural-disaster monitoring, climate-change insights, and a switchgrass-vs-corn biofuel efficiency lab. No install — just open it.

A simple Fuel Economy Tracker using Android.

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

A simple machine learning project to predict car fuel efficiency (MPG) using Python. The project explores data preprocessing, feature selection, and model building with a focus on learning core ML concepts.

Fuel Consumption Prediction. Using Linear Regression Predicts car fuel efficiency (MPG) from vehicle specifications using data cleaning, EDA, feature encoding, and linear regression, evaluated with MAE, RMSE, and R².

TruckLabs built TruckWings, an automated tractor-mounted aerodynamic device that closes the gap between the tractor and trailer to reduce aerodynamic drag, cutting fuel consumption by a proven 3-6% and eliminating roughly 7-10 metric tons of CO2 per truck each year with an 18-24 month payback.

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

Jupyter notebook for end-to-end MPG prediction: EDA, data cleaning (missing/categorical), feature scaling, train/test split, and scikit-learn regression with metrics (R², MAE, RMSE).

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

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

Mile Vaganam is a web app for calculating vehicle fuel efficiency, managing vehicle data, and analyzing fuel consumption, built with Java Spring Boot backend and React Vite frontend.

Mileage Prediction - Regression Analysis 🚗 This project predicts vehicle mileage (MPG) using Linear Regression. It preprocesses data, visualizes feature relationships, and achieves an R² score of 70.3%. 🚀 🔹 Key Features: Data cleaning, visualization, and model training. 📊 Performance: MAE: 3.33 | MAPE: 14.7% | R²: 70.3% 📌 MIT License

A modern, open-source fuel log and analytics app powered by Laravel 12 & Filament 4. Record, analyze, and manage multi-vehicle fuel expenses with elegant dashboards and Indonesian region plate support.

Calculate the exact financial "damage" of the 2026 petrol price hikes on your daily commute to Habib University. Drop a pin to see your customized damage report, built using free open-source tools: Leaflet maps, Nominatim (for searching areas), and the OSRM API (for driving distance).

🔍 Fuel efficiency (mpg) analysis and prediction using linear regression and GAM models on the StatLib Auto dataset (1983). Includes preprocessing, correlation, subset selection, and model evaluation in R.

Curated portfolio of reproducible data-science playbooks across marketing, cybersecurity, NLP, finance, HR, energy, and startup analytics.