🛠 Tech Stack

• 🔧 Flutter (Mobile App)
• 🐍 Python (ML Backend)
• 🌐 Node.js + Express.js (Backend)
• 🔥 MongoDB (Realtime Database)
• 🤖 Gemini API (Analysis & Chat)
• 🌦 WeatherAPI (Forecast Data)

📁 Folder Structure

├── API
│   ├── api.dart
│   ├── mlApi.dart
│   └── weather_service.dart
├── constants
│   ├── buttonOutlined.dart
│   ├── image_strings.dart
│   ├── page_indicator.dart
│   ├── sizes.dart
│   ├── spacing.dart
│   └── text_strings.dart
├── helper_functions
│   └── helper_functions.dart
├── main.dart
├── models
│   ├── ferilizer_model.dart
│   ├── nutritionData_model.dart
│   ├── sensorData_model.dart
│   ├── weatherData_model.dart
│   └── weather_model.dart
├── pages
│   ├── analytics2.dart
│   ├── analytics.dart
│   ├── home.dart
│   ├── login.dart
│   ├── settings.dart
│   └── week_screen.dart
├── popups
│   ├── fullscreen_loaders.dart
│   └── loaders.dart
├── providers
│   └── analyticsProvider.dart
├── routes.dart
├── theme
│   ├── custom_theme
│   │   └── elevated_button_theme.dart
│   └── theme.dart
└── utils
    ├── adBox.dart
    ├── analysis_box.dart
    ├── appbar.dart
    ├── CategoryItems.dart
    ├── CFC.dart
    ├── dataContainer.dart
    ├── device_utils.dart
    ├── home_container.dart
    ├── linechart.dart
    ├── npk_box.dart
    ├── productBox_L.dart
    ├── productBox_s.dart
    ├── sensor_data_box.dart
    ├── settingContainer.dart
    ├── sharedPrefs.dart
    ├── shimmerWidget.dart
    ├── TC.dart
    ├── TFD.dart
    └── weatherContainer.dart

🌐 Backend APIs

The backend is built using Node.js with Express.js, handling:

• Sensor Data Processing

  • REST endpoints for receiving sensor data
  • WebSocket support for real-time updates
  • Data validation and sanitization

• Machine Learning Integration

  • Python child processes for ML model execution
  • API endpoints for fertilizer recommendations
  • Crop-specific prediction models

• Weather Data Integration

  • Weather API proxy endpoints
  • Forecast data caching
  • Weather alert system

• Device Control

  • IoT device management endpoints
  • Motor control API
  • Irrigation scheduling system

• Authentication & Security

  • JWT authentication
  • Role-based access control
  • API rate limiting

🛠 Setup

git clone https://github.com/IMMANUEL-88/ferti_optimizer.git
cd ferti_optimizer
flutter pub get
flutter run

Note: While you can clone and run the app locally, please be aware that:

• Some backend APIs are currently hosted on a local server (localhost), and others are hosted live.
• To experience full functionality (ML predictions, sensor data sync, motor control, etc.), you’ll need to set up the backend environment locally or deploy it to a live server.
• The necessary environment variables (.env) are maintained privately and are not included in the repository for security reasons.