[CASE // REILU]
Sustainable grocery companion
Snap a photo of a product or receipt. Reilu identifies items, looks them up on Open Food Facts, estimates health and environmental impact, and suggests better swaps — without guessing when data is missing.
The story
Built for a hackathon focused on transparent, trustworthy consumer data. Grocery packaging hides what matters — health scores, eco-ratings, carbon footprint — and shoppers are left comparing labels they cannot read.
Reilu turns opaque packaging into clear, comparable signals. When Open Food Facts or impact data is unavailable, the UI shows it as unavailable rather than filling in a guess.
How it works
A photo upload triggers four specialized agents in sequence. Each has a narrow job and structured output, so failures stay isolated and missing data is flagged rather than hallucinated.
The Vision Agent extracts items from the photo. The Facts Agent resolves each item against Open Food Facts — by barcode, structured search, or full-text fallback. The Summary Agent produces health and eco scores plus a human-readable summary. The Suggestion Agent finds better swaps in the same category for low-scoring items.
An Impact Enricher runs alongside, attaching category-level CO₂e estimates from Climatiq (or a local fallback table). Missing impact data returns unavailable — never an imputed value.