PetEats — AI Pet-Food Label Scanner (iOS)

Pet owners stare at ingredient lists full of chemical names and marketing jargon. They have no quick way to know whether a product is actually safe for their specific animal — especially when allergies, age, or sensitivities are involved.

PetEats is a native iOS app that scans pet-food labels (barcode or OCR) and tells you in plain English whether a product suits your specific dog or cat. It matches ingredients against a database and returns:

A safety score based on your pet's profile

A label-clarity score (how transparent the brand is)

An AI-generated explanation tuned to the pet's age, sensitivities, and allergies

Scan history lets you compare products over time, so you build a real picture of what you're feeding your pet.

Solo, end to end. I owned the product thinking, architecture, the native iOS build, the AI integration, the UX/design, and the entire release — App Store review, subscriptions, ATT/privacy compliance, analytics. No team, no hand-off.

Native iOS app in Swift, talking to a Python + FastAPI backend

OpenAI API powers the ingredient analysis and plain-language explanations

Supabase handles the ingredient database and user data

RevenueCat manages subscriptions alongside native App Store billing

Next.js for the marketing site at peteats.app

PetEats is live on the App Store — you can download it right now on any iPhone and start scanning. A real, shipped product built and launched solo, from first commit to App Store approval.