What to eat!
Built at Meta Global AI Developer Hackathon · Oct 26, 2026 · Remote

What to eat! is a mobile app that ends the “where should we eat?” argument. It asks three quick questions, learns your taste and mood over time from what you actually ate, and suggests nearby places on a map. It’s a chat: it picks the next question based on your history, returns a short top 3 (one card per chain, closest location), and keeps talking to refine. You can text it about a meal and it logs it. Predictions for cuisine and place come from real machine learning on your meal history, not just an LLM guessing. I built it because deciding where to eat with my girlfriend was a daily problem.