Carbon Footprint Tracker

Overview

This project was built to make carbon impact easier to understand in a practical and engaging way. Instead of showing users raw environmental numbers with no context, the app translates everyday activity into a clearer footprint estimate and gives them feedback they can actually react to.

I built the core platform in Django with Python, combined backend logic with a simple HTML, CSS, and JavaScript front end, and integrated an external API for more realistic emissions data. The app also includes a pet companion concept driven by simple heuristics that reacts to user behaviour to encourage better habits over time.

The result is a project that combines calculation logic, API integration, and user-focused design in a way that feels more interactive than a standard tracker.

Highlights

• Uses external emissions data to improve realism.
• Motivates users with a pet companion mechanic.
• Structured around reusable REST-style endpoints.

Project link

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