Built a personalized meal-planning app that generates weekly plans from each user's diet, allergies, and learned taste preferences, and schedules them on a conflict-aware calendar.

Implemented as a TypeScript monorepo — a domain-pure engine driving LLM-based plan generation, an Express/Supabase API, and a React Native mobile client — with a background learner that refines each user's preferences after every confirmed plan.