The idea: instead of scrolling reviews, you answer a short taste quiz, and the app builds a personal taste profile. It then recommends restaurants that actually fit you, and tells you why. Log the meals you eat, and the profile keeps getting sharper. There's a group mode too, for the eternal "where should we all eat?" problem.
The plan turns that idea into an implementation-ready brief: data model, system architecture, technology choices and a phased roadmap a team can build against. The hardest problem isn't the tech: it's making recommendations feel good on day one, before the app knows much about anyone. The design tackles that head-on, so the first impression works even with a brand-new user.
The engineering philosophy throughout is deliberately lean: one codebase for iOS and Android, an architecture that can grow into scale later without a rewrite, and a validation phase with real users before production code gets written.
Every recommendation explains itself, and every logged meal makes the next one better.