I wanted to understand the impact of my household's grocery shopping on the environment. A key factor is that I wanted to be able to do this without much effort, and allow my partner to add their purchases.
So I built a tool that uses AI to calculate this by analysing grocery receipts. It collects and organises items from receipts, and estimates the CO2e output for each one. Obviously most receipts don't include weight information, so when it's not available, the tool uses standardised averages (e.g. 1 mango = 250g). With all this data, it estimates a CO2e output for my household (factoring in how many people I shop for) and gives a score. I've written more about the factors the tool considers here.
My aim is to identify high-emission foods to reduce from my shopping.
From the HN community, I'd like to know how useful you'd find a tool like this.
Show HN: Understanding a Household's Food Emissions
spendscan.com