About This Architecture

Closet Mate is a React Native outfit recommendation engine that connects smartphone users to a Python Flask backend for intelligent clothing curation. The app flows from user login and closet management through a REST API that queries MySQL for wardrobe data, integrates OpenWeather for weather-aware suggestions, and uses rembg for background-removed clothing images. This architecture demonstrates a practical three-tier pattern for consumer mobile apps requiring real-time recommendations and external API orchestration. Fork this diagram to customize recommendation logic, swap databases, or adapt the weather integration for your own fashion or lifestyle app. The modular API design supports easy addition of new recommendation features like color matching or occasion-based filtering.

People also ask

How do you build a mobile outfit recommendation app with React Native and Python Flask?

Closet Mate demonstrates a three-tier architecture where the React Native frontend communicates via REST API to a Python Flask server, which manages MySQL wardrobe data, fetches real-time weather from OpenWeather, and processes clothing images with rembg for clean visual display.