Carbon Footprint: The Micro-Logistics Optimizer

This is a submission for Weekend Challenge: Earth Day Edition

What I Built

Solving carbon emissions often starts with efficiency. This project reimagines how we move goods or people by finding the most "carbon-efficient" routes rather than just the fastest ones.
A routing engine that calculates the CO_2 cost of different transit methods based on real-time data. It doesn't just show a map; it provides a "Carbon Budget" for a trip and suggests the optimal time to travel to minimise idle engine time

Demo

https://micro-logistics-optimizer-cspxxpk7pp7dxkzbxqkl8s.streamlit.app/

Code

https://github.com/hania-faisal/micro-logistics-optimizer/blob/main/app.py

How I Built It

I made it using Google Antigravity. My frontend is made using Streamlit, and the APIs I used inside the project are from Open Route Service. After making it, I pushed it to GitHub and deployed it using Streamlit.

Prize Categories

Best Use of Google Gemini