Skin Cancer Detection Mobile Application

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.

Features:

• 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.

Getting Started

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.

Requirements:

• Flutter SDK
• Android Studio / Xcode for emulator or physical device testing
• TensorFlow Lite dependencies (already included in the project)

Contributors:

• Aman Prakash Kanth
• Giriraj Garg
• Ashutosh Kumar
• Shubh Raj

Disclaimer:

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:

Feedback and contributions are welcome! Feel free to open an issue or submit a pull request with any improvements or suggestions.

Acknowledgments:

Special thanks to TensorFlow and Flutter communities for their contributions to open-source software.

Note:

This is a simple app suitable for beginners. Modifications and enhancements are currently underway.