RefrigeApp

A mobile application to recommend recipes based on refrigerator inventory, built with React Native and Firebase (Work in Progress).

Overview

Started in Sep 2023 - Nov 2023 and resumed in July 2025, RefrigeApp aims to simplify meal planning by suggesting recipes based on available ingredients, with plans for AI-powered image analysis to automate inventory tracking.

Features

• Current:
  • Tab-based navigation for user-friendly interface
  • Real-time data storage and retrieval using Firebase Firestore and Express.js
  • API communication via axios, tested with Postman
• Planned:
  • Recipe recommendations based on difficulty, time, and user ratings etc.
  • AI-powered image analysis for ingredient detection
  • Foods recommendation system based on weather
  • Missing ingredients shopping list for selected recipes

Tech Stack

• Frontend: React Native (Expo), JavaScript, axios
• Backend: Express.js (Node.js, Port: 8080), Firebase Firestore
• Tools: Metro Bundler, Postman, Git

API Endpoints

• Authentication:
  • POST /api/auth/register: User registration
  • POST /api/auth/login: User login
• Food Management:
  • POST /api/foods: Add food item
  • GET /api/foods/:userId: Retrieve user's food inventory
  • DELETE /api/foods/:id: Delete food item
  • PUT /api/foods/:id: Update food details

Setup

1. Clone the repository: git clone https://github.com/torigood/refrigeapp
2. Install dependencies: npm install
3. Set up Firebase configuration (see serviceAccountKey.example)
4. Run backend: cd backend && node server.js
5. Run frontend: npx expo start

Troubleshooting

• Expo issues: Run npm install --force or npx expo install --fix to resolve dependency conflicts.
• Metro issues: Update Metro with npm install metro@latest @expo/metro-config@latest.
• More details: Check Expo documentation.

Screenshots

[Insert screenshots: Tab navigation UI, Postman API test results, Firebase Firestore data]

Future Plans

• Implement recipe recommendation system with filters (difficulty, time, ratings etc).
• Integrate AI for image-based ingredient detection.
• Enhance UI with inventory tracking and user feedback features.

Contact

• GitHub: https://github.com/torigood
• Email: kwansik.kim2004@gmail.com