This repository contains the source code for a mobile application developed using Flutter for skin cancer detection. The application utilizes TensorFlow Lite for real-time inference on dermoscopic images captured via camera or uploaded from the gallery.
- Real-Time Inference: Utilizes TensorFlow Lite for real-time skin cancer detection.
- User-Friendly Interface: Designed with a user-friendly interface for easy navigation and interaction.
- Instant Results: Provides instant results and recommendations.
- Accessibility: Enhances accessibility to skin cancer detection.
This project is a starting point for a Flutter application. A few resources to get you started if this is your first Flutter project:
- Lab: Write your first Flutter app
- Cookbook: Useful Flutter samples For help getting started with Flutter development, view the online documentation, which offers tutorials, samples, guidance on mobile development, and a full API reference.
- Flutter SDK
- Android Studio / Xcode for emulator or physical device testing
- TensorFlow Lite dependencies (already included in the project)
- Aman Prakash Kanth
- Giriraj Garg
- Ashutosh Kumar
- Shubh Raj
This application is for educational and informational purposes only. It is not intended to provide medical advice or diagnosis. Always consult a qualified healthcare professional for medical advice and diagnosis.
Feedback and contributions are welcome! Feel free to open an issue or submit a pull request with any improvements or suggestions.
Special thanks to TensorFlow and Flutter communities for their contributions to open-source software.