Inspiration
Nutri-Score: no existing equivalent for CO2e/kg emissions. Increase the overall importance of other metrics than price and nutri-score
What it does
Search, sort and filter products using CO2 emissions to rise awareness about carbon footprint. A global company ranking provides a “footprint-metric” to compare different companies by their sustainability. On top of that, companies can monitor the ingredient supply chain of their products. With our “Supply Chain Optimiser”, routes with a bad carbon-footprint can be easily optimised and replaced by a equivalent but cleaner shipping route.
How we built it
React Frontend, Material UI, Machine Learning in Python, Mocked data, real food dataset
Challenges we ran into
Deciding on the real use case, implementing UI and ML model.
Accomplishments that we're proud of
Supplychain Overview, "Supply Chain Optimiser", ML footprint prediction
What we learned
Frontend development is boring and hard. A good USP is really importand for presenting and developing a good idea.
What's next for Sustainability Dashboard
Implement real SAP APIs, increase incentives for companies to take part in the Company ranking. Write a real "Supply Chain Optimiser" algorithm, improve the footprint-prediction model https://www.loom.com/share/4de7b64ee26241e2937c37b84cfc4529
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