Dapoer Plan - AI-Powered Indonesian Recipe Generator Mobile App

Dapoer Plan is a mobile (Android) application designed to help users manage their food ingredients and discover local Indonesian recipe ideas. This app is equipped with Artificial Intelligence (AI) features that allow users to detect food ingredients directly through the device’s camera or by uploading photos from the gallery. Based on the detected ingredients, the app generates relevant Indonesian local recipe recommendations. In addition, Dapoer Plan provides a history feature to record and revisit previously viewed or created recipes, and a catalog feature that contains a collection of diverse Indonesian recipes for users to explore.

Features

• AI Ingredient Detection
  Scan or upload food images to automatically identify ingredients

• Smart Recipe Generation
  Get personalized Indonesian recipe suggestions based on detected ingredients

• Recipe Catalog
  Explore diverse collection of authentic Indonesian recipes

• Generated Recipe History
  Save and revisit your favorite recipes and searches

• User-Friendly Interface
  Beautiful Flutter-based mobile experience

Tech Stack

• Frontend: Flutter (Android/iOS)
• Backend: Express.js (REST API)
• AI Service (Image Detection): Flask
• Database: MongoDB
• Computer Vision: Custom YOLO model or LLM using OpenRouter

Project Structure

.
├── README.md
├── ai_server
│   ├── best.pt
│   ├── detect_ingredient.py
│   └── requirements.txt
├── backend
│   ├── controllers
│   ├── data
│   ├── index.js
│   ├── middleware
│   ├── models
│   ├── node_modules
│   ├── package-lock.json
│   ├── package.json
│   ├── routes
│   └── utils
└── frontend
    ├── README.md
    ├── analysis_options.yaml
    ├── android
    ├── assets
    ├── build
    ├── ios
    ├── lib
    ├── linux
    ├── macos
    ├── pubspec.lock
    ├── pubspec.yaml
    ├── test
    ├── web
    └── windows

Project Setup

Configuration

Create .env files in the backend directory:

PORT=3000
MONGODB_URL='mongodb://localhost:27017/dapoerplan'
JWT_SECRET='your_jwt_secret_32_chars_minimum'
OBJECT_DETECTION_URL='http://localhost:"portforaiserver"/detect/ingredient'
OPENROUTER_API_KEY='your_openrouter_api_key'

Prerequisites

• Flutter SDK: 3.32.4 (Dart 3.8.1)
• Node.js: 22.12.0
• Python: 3.10+ (recommended 3.11+ for better Flask compatibility)

1. Backend Setup (Express.js)

cd backend
npm install
npm run dev

2. AI Server Setup (Flask)

cd ai_server
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate
pip install -r requirements.txt
python app.py

3. Frontend Setup (Flutter)

cd frontend
flutter pub get
flutter run

Screenshots

Login and Register	Home Screen	Katalog Recipe

Katalog Recipe Detail	Generate Recipe using Ingredient Input

Detect Ingredient from Image	Generated Recipe from Detected Ingredient	Generated Recipe History