Menu Scanner: AI-Powered Menu Analysis App
Mobile-first app that scans restaurant menus, explains ingredients, and flags allergens using GPT-4o Vision.
- Role
- Creator & Full-Stack Developer
- Industry
- Food / Travel / Consumer
The challenge
Foreign-language menus, especially Italian, make it hard for people with allergies or dietary preferences to order safely and confidently.
The solution
Built a camera-based web app where users photograph menus and get AI-generated item lists, translated ingredients, explanations, and allergen/dietary conflict warnings. Implemented mobile-friendly camera UX and batch analysis to keep performance reasonable.
Key highlights
- GPT-4o Vision integration for full-menu analysis (40+ items) in one pass.
- Personalized allergen and dietary preference settings with localStorage.
- Color-coded warnings for allergens vs dietary conflicts.
- Performance optimisations reducing analysis time from ~80s to 8–15s.
- Hydration-safe architecture balancing SSR and client-side camera logic.
AI & automation
Core product is built around GPT-4o Vision and LLM reasoning for translation, explanation, and safety alerts.
Outcome & impact
Provides diners with instant clarity on unfamiliar dishes and ingredients, especially for those with allergies or strict dietary preferences.
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