Fruit Grading Mobile App

A Flutter mobile application for grading fruits using image processing and machine learning.

Prerequisites

• Flutter SDK installed
• Android Studio / VS Code with Flutter extensions
• Physical Android device or Emulator for testing
• Backend server running

Setup Instructions

1. Clone the Repository

   git clone [your-repository-url]
   cd fruit_grading_mobile_app

2. Install Dependencies

   flutter clean
   flutter pub get

3. Configure Server IP Address

   • Open lib/api_service.dart
   • Locate the baseUrl variable
   • Change the IP address according to your setup:
     • For physical device: Use your server's IP address (e.g., "http://192.168.1.100:5000")
     • For Android Emulator: Use "http://10.0.2.2:5000" (This maps to localhost)

   static const String baseUrl = "http://YOUR_SERVER_IP:5000";

4. Server Configuration

   • Ensure your server is running
   • Disable firewall on the server machine or configure it to allow incoming connections
   • Test the server connection before running the app

Building and Running

Development Build

flutter run

Release Build

flutter build apk --release

The APK will be generated at: build/app/outputs/flutter-apk/app-release.apk

Common Issues

1. Server Connection Failed

   • Verify server IP address is correct
   • Check if server is running
   • Ensure firewall is not blocking connections

2. Build Errors

   • Run flutter clean before rebuilding
   • Ensure all dependencies are properly installed
   • Check if the Android SDK is properly configured