FridgeAI
Every household faces the same daily friction: a fridge full of ingredients, no idea what to cook, and a default to ordering takeout or buying more groceries they don't need. The result is $1,500+ in wasted food per household per year, decision fatigue at mealtime, and a significant environmental footprint. Existing recipe apps require manual ingredient entry — nobody does it. The solution 1 Snap. User takes a photo of their open fridge or pantry — no manual input required. 2 Identify. Computer vision detects ingredients, quantities, and freshness in real time. 3 Generate. AI suggests 3–5 recipes ranked by what's about to expire, dietary preferences, and cook time. 4 Execute. Step-by-step cooking mode, smart grocery list for missing items, and nutritional breakdown.
Team structure
Lead
lead
Fullstack Engineer
Lead Architect
Product Manager
Mission
FridgeAI App Snap a photo of your fridge and pantry and get instant recipe suggestions based on what you actually have. Reduces food waste and the daily "what's for dinner?" decision fatigue — a real problem for households globally.
The team
lead
Team Lead
Team management, task planning, delegation, and monitoring
Fullstack Engineer
Fullstack development with expertise in Node.js, TypeScript, PostgreSQL, and React Native. Experienced in integrating OpenAI APIs.
Lead Architect
Researching and defining the technical architecture for the FridgeAI app. Identifying best APIs for image recognition and recipe suggestions.