🍎 SmartFruit

An AI-powered Flutter app that identifies fruits instantly from your camera and answers any fruit-related question through a built-in voice assistant.

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✨ Features

• 📷 AI Fruit Classification — Identify fruits in real time using TensorFlow Lite (on-device, no internet needed for ML)
• 🎤 Voice Assistant — Ask any question about a fruit and get a spoken answer powered by OpenAI GPT
• 🔐 Authentication — Secure login and registration via Firebase Auth
• ☁️ Cloud Storage — Firestore integration for user data and history
• 🗣 Speech-to-Text & TTS — Fully hands-free experience
• 📱 Multi-platform — Android, iOS, Web, Windows, macOS

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🛠 Tech Stack

Layer	Technology
Framework	Flutter 3 / Dart 3
ML Model	TensorFlow Lite (on-device)
Backend	Firebase Auth, Firestore, Storage
Voice	speech_to_text + flutter_tts
AI Assistant	OpenAI GPT via HTTP
Platforms	Android, iOS, Web, Windows, macOS

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🚀 Quick Start

Prerequisites

• Flutter 3.0+ — install guide
• Dart 3.0+
• A Firebase project — console.firebase.google.com
• OpenAI API key (optional — for voice assistant)

1. Clone

git clone https://github.com/YOUR_USERNAME/smartfruit.git
cd smartfruit

2. Install dependencies

flutter pub get

3. Firebase setup

# Install Firebase CLI if you haven't
npm install -g firebase-tools

# Login and init
firebase login
flutterfire configure

This generates lib/firebase_options.dart automatically.

4. Add your assets

Place these files in the assets/ folder:

• fruit_classifier.tflite — your TFLite model
• labels.txt — fruit label list (one per line)

5. Add your OpenAI key (optional)

In your environment or a config file:

const openAiApiKey = 'sk-...';

6. Run

# Android / iOS
flutter run

# Web
flutter run -d chrome

# Windows
flutter run -d windows

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📁 Project Structure

smartfruit/
├── lib/
│   ├── firebase_options.dart   # Auto-generated Firebase config
│   ├── main.dart               # Entry point
│   ├── screens/
│   │   ├── login_screen.dart
│   │   ├── home_screen.dart
│   │   ├── classification_screen.dart
│   │   └── voice_assistant_screen.dart
│   └── services/
│       ├── ml_service.dart     # TFLite inference
│       ├── voice_service.dart  # STT + TTS
│       └── gpt_service.dart    # OpenAI calls
├── assets/
│   ├── fruit_classifier.tflite
│   └── labels.txt
├── firestore.rules
├── storage.rules
└── pubspec.yaml

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🔒 Firestore Rules

Rules are configured in firestore.rules. Each user can only read and write their own data.

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🤝 Contributing

Pull requests are welcome. For major changes, open an issue first to discuss what you'd like to change.

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📄 License

MIT — free to use and modify.