All work
Carbon Sense
Predicts a personal carbon footprint from travel, diet and energy data with about 88% accuracy and suggests reductions.
- Design and engineering
- 2025
- Open source
- Python
- FastAPI
- LangChain
- Recharts
~88%
Prediction accuracy
3+
Input domains
Problem
Most people have no clear picture of their personal carbon footprint or which habits matter most.
Approach
Carbon Sense predicts a footprint from travel, diet and energy data, then suggests reductions. It is built with FastAPI, LangChain and Recharts.
Outcome
About 88% accuracy across three or more input domains. The code is open source.