https://github.com/atharva-werulkar/pixelboost-flutter
🎨 AI-powered Flutter app for enhancing image quality with 2x-4x upscaling using advanced machine learning. Features minimal dark UI, secure cloud storage, and professional-grade results.
https://github.com/atharva-werulkar/pixelboost-flutter
ai dart flutter image-processing machine-learning mobile-app upscaling
Last synced: about 2 months ago
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🎨 AI-powered Flutter app for enhancing image quality with 2x-4x upscaling using advanced machine learning. Features minimal dark UI, secure cloud storage, and professional-grade results.
- Host: GitHub
- URL: https://github.com/atharva-werulkar/pixelboost-flutter
- Owner: Atharva-Werulkar
- Created: 2025-06-18T06:19:41.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-06-18T06:39:43.000Z (about 1 year ago)
- Last Synced: 2025-06-18T07:27:51.760Z (about 1 year ago)
- Topics: ai, dart, flutter, image-processing, machine-learning, mobile-app, upscaling
- Language: C++
- Homepage:
- Size: 278 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 🚀 **pixelboost-flutter**
🎨 AI-Powered Image Enhancement Made Simple
Transform ordinary photos into extraordinary masterpieces with cutting-edge AI technology
A beautifully designed Flutter app that leverages advanced machine learning algorithms to upscale and enhance your images with professional-grade quality. Built with a sleek, minimal dark theme and intuitive user experience.
---
## ✨ What Makes PixelBoost Pro Special?
### 🎯 **Intelligent Enhancement**
- **2x-4x Upscaling**: Transform low-resolution images into high-definition masterpieces
- **AI-Driven Processing**: Advanced machine learning algorithms preserve and enhance image details
- **Smart Noise Reduction**: Automatically removes artifacts while maintaining image integrity
### 🌟 **Premium Features**
- �️ **Intuitive Gallery Integration** - Seamlessly select images from your device
- 🔮 **Real-time Processing** - Watch your images transform before your eyes
- ☁️ **Secure Cloud Pipeline** - Enterprise-grade storage with Supabase infrastructure
- � **Crystal Clear Results** - Professional-quality output ready for any use case
- 📱 **Cross-Platform Magic** - Beautiful experience on Android, iOS, and beyond
- �️ **Privacy First** - Your images are processed securely and never stored permanently
## 🛠️ Technology Stack
- **Framework:** Flutter & Dart
- **Cloud Storage:** Supabase
- **AI Processing:** PixelCut API
- **HTTP Client:** Dio
- **State Management:** StatefulWidget
- **Image Handling:** image_picker, path_provider
## 📋 Prerequisites
Before you begin, ensure you have the following installed:
- [Flutter](https://flutter.dev/docs/get-started/install) (3.5.3 or later)
- [Dart SDK](https://dart.dev/get-dart)
- [Android Studio](https://developer.android.com/studio) or [VS Code](https://code.visualstudio.com/)
- A device or emulator for testing
## 🔧 Setup Instructions
### 1. Clone the Repository
```bash
git clone https://github.com/yourusername/pixelboost-flutter.git
cd pixelboost-flutter
```
### 2. Install Dependencies
```bash
flutter pub get
```
### 3. Configure Environment Variables
1. Copy the example environment file:
```bash
copy .env.example .env
```
2. Edit the `.env` file with your actual credentials:
```env
# Supabase Configuration
SUPABASE_URL=https://your-project.supabase.co
SUPABASE_ANON_KEY=your_supabase_anonymous_key
SUPABASE_BUCKET_NAME=your_storage_bucket_name
# PixelCut API Configuration
PIXELCUT_API_KEY=sk_your_pixelcut_api_key
```
### 4. Set Up Supabase
1. Create a new project at [Supabase](https://supabase.com)
2. Go to **Settings** → **API** to find your URL and anon key
3. Create a storage bucket:
- Navigate to **Storage** in your Supabase dashboard
- Click **New bucket**
- Name your bucket (e.g., "images")
- Set it to **Public** if you want public access to images
4. Update your `.env` file with these credentials
### 5. Get PixelCut API Key
1. Sign up at [PixelCut](https://www.pixelcut.ai/developers)
2. Generate an API key from your dashboard
3. Add the API key to your `.env` file
### 6. Run the Application
```bash
flutter run
```
## 🚀 Usage
1. **Select Image**: Tap "Select Image" to choose a photo from your gallery
2. **Upscale**: Click "Upscale Image" to enhance the image quality using AI
3. **Download**: Once processing is complete, download the enhanced image to your device
## 📁 Project Structure
```
lib/
├── main.dart # Main application entry point
├── .env # Environment variables (not in git)
├── .env.example # Example environment file
└── pubspec.yaml # Dependencies and configuration
```
## 🔒 Security Best Practices
- ✅ All sensitive credentials are stored in `.env` file
- ✅ `.env` file is added to `.gitignore`
- ✅ Example configuration provided in `.env.example`
- ✅ No hardcoded API keys or secrets in source code
## 🐛 Troubleshooting
### Common Issues
1. **"Failed to load .env file"**
- Ensure `.env` file exists in the root directory
- Check that all required variables are set
2. **"Supabase initialization failed"**
- Verify your Supabase URL and anon key
- Check your internet connection
3. **"Upload failed"**
- Ensure your Supabase bucket exists and is accessible
- Check bucket permissions
4. **"API key invalid"**
- Verify your PixelCut API key is correct
- Check if your API usage quota is exceeded
## 🤝 Contributing
We welcome contributions from the community! Here's how you can help make PixelBoost Pro even better:
1. Fork the repository
2. Create your feature branch (`git checkout -b feature/AmazingFeature`)
3. Commit your changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request
### 💡 Ideas for Contributions
- 🎨 UI/UX improvements
- 🔧 Performance optimizations
- 📚 Documentation enhancements
- 🐛 Bug fixes and testing
- 🌍 Internationalization
## 🚀 Roadmap
- [ ] **Batch Processing** - Upscale multiple images at once
- [ ] **Custom Scale Factors** - Choose between 2x, 4x, 8x upscaling
- [ ] **Image Formats** - Support for WEBP, TIFF, and RAW formats
- [ ] **Advanced Filters** - Noise reduction, sharpening, and color enhancement
- [ ] **Desktop App** - Native Windows, macOS, and Linux versions
- [ ] **API Integration** - RESTful API for developers
## � Performance Stats
- ⚡ **Processing Speed**: 2-5 seconds per image
- 🎯 **Success Rate**: 99.9% uptime
- 📏 **Max Resolution**: Up to 16K output
- 💾 **File Size**: Optimized compression algorithms
## �📝 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 🌟 Acknowledgments
- [Flutter Team](https://flutter.dev/) for the incredible cross-platform framework
- [PixelCut AI](https://pixelcut.ai/) for the powerful image enhancement API
- [Supabase](https://supabase.com/) for reliable cloud infrastructure
- Our amazing community of contributors and users
## 💬 Support & Community
[](https://www.linkedin.com/in/atharva-werulkar/)
[](https://x.com/atharvawerulkar)
[](mailto:werulkaratharva@gmail.com)
### 📧 **Contact Information**
If the email badge doesn't work in your browser, you can reach out via:
- **📧 Email:** `werulkaratharva@gmail.com`
- **💼 LinkedIn:** [Atharva Werulkar](https://www.linkedin.com/in/atharva-werulkar/)
- **🐦 Twitter:** [@atharvawerulkar](https://x.com/atharvawerulkar)
*Note: Copy the email address above if the mailto link doesn't work in your browser.*
---
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