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

A simple Fuel Economy Tracker using Android.

Explore two captivating data visualizations created using Plotly and GeoPandas. The first project showcases a Spline Radar Plot using fuel efficiency data, while the second project features a Choropleth Map illustrating student demographics in Canada. Dive into the Jupyter Notebooks to understand the visualization techniques and feel free to custom

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.

A web-based application for logging trips, calculating fuel efficiency, and tracking cumulative KML, developed using modular JavaScript.

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

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

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

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 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.

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

🔍 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.

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.