Inspiration We built this project because transportation is one of the biggest sources of CO₂ emissions. We wanted to make a simple tool that shows people how much their daily travel contributes to the carbon footprint and how they can choose greener options.
How we built it We used Python with Streamlit and Pandas. The app takes a travel mode and distance as input, calculates emissions using average factors (like car = 0.18 kg CO₂/km, bus = 0.09), and shows suggestions for alternatives.
What we learned We learned how to build and run Streamlit apps, how to connect research data into a project, and how important it is to keep things simple for users.
Challenges We faced setup issues with Python and Streamlit at first, and it was also challenging to find reliable emission data and keep it simple enough for a hackathon project. Time management was another challenge, since we had to focus on making a working demo first.
Built With
- python
- streamlit
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