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

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

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

A simple Fuel Economy Tracker using Android.

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 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.

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

🔍 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.