About This Architecture

Closet Mate is a React Native mobile app with Python Flask backend that helps users manage wardrobes and receive outfit recommendations. The smartphone app communicates via HTTP REST API over local Wi-Fi to a Flask server exposing /auth, /clothes, /recommend, /feedback, and /image endpoints. A MySQL database stores users, clothes, outfits, and feedback with proper foreign key relationships, while the backend integrates OpenWeather API for weather-aware suggestions and rembg for AI-powered background removal on clothing images. This architecture demonstrates a practical three-tier pattern suitable for personal productivity apps requiring offline-first local networking and lightweight ML integration. Fork this diagram on Diagrams.so to customize endpoints, add cloud deployment stages, or extend with additional recommendation algorithms.

People also ask

How do you architect a React Native mobile app with a Python Flask backend for a clothing recommendation system?

The Closet Mate architecture uses a React Native Expo Go app on the smartphone communicating via HTTP REST API to a Python Flask server over local Wi-Fi. The Flask backend manages five endpoints (/auth, /clothes, /recommend, /feedback, /image) and connects to a MySQL database with normalized tables for users, clothes, outfits, and feedback, while integrating OpenWeather API and rembg library for w