Solo Developer Builds AI App That Turns Dish Photos Into Home Recipes

A solo developer has built DishLens, a mobile app that lets users photograph a dish and receive a cookable recipe along with nutritional information. The project, built using React Native (Expo) for the frontend and a custom API backend, relies on Google Vision for dish classification, Anthropic Claude for recipe generation, and Edamam for nutrition data. The developer also engineered a companion service called DriveSync, which keeps a Pinecone vector database synchronized with recipes stored as Google Docs. Key technical challenges included building a robust image preprocessing pipeline — covering blur detection, EXIF stripping, and content moderation — to avoid passing poor-quality inputs to AI models. The entire project lives in a single monorepo and was developed without a team, with the developer noting that AI coding tools accelerated development but could not substitute for domain knowledge and engineering judgment.