This is an open-source project dedicated to helping people living in regions with a lack of dermatologists! 🚀 We've developed a Skin Cancer Detection App using React Native for the front end and TensorFlow, NumPy, and Python for the back end. The app empowers users to check if a naevus (mole) is benign or malignant.

• 📷 Camera Integration: Capture photos directly from your phone's camera.
• 🔄 Real-time Detection: Instantly send the photo to the TensorFlow model for analysis.
• 🤖 Machine Learning Magic: Utilizing TensorFlow, NumPy, and Python to distinguish between benign and malignant moles.

1. 📱 User Permission: The app prompts the user for camera permissions.
2. 📸 Capture Photo: Users can take photos of the naevus they want to analyze.
3. 🚀 Model Processing: The app sends the photo to the TensorFlow model for analysis.
4. 🩺 Diagnosis Result: The model processes the image and provides feedback on whether the naevus is benign or malignant.

• ⚛️ React Native: For the frontend development.
• 🧠 TensorFlow: Powering the machine learning model.
• 🐍 Python: Backend development and model training.
• 📊 NumPy: Handling numerical operations efficiently.
• 📷 Expo: Leveraging the React Native's cross-platform capability

• 📊 Kaggle Dataset: The model has been trained on a curated dataset from Kaggle, ensuring robust and accurate predictions.

• 🌐 Web Deployment: I am considering deploying the app on the web for broader accessibility.
• 🌈 Improved UX/UI: I plan to enhance the user interface with nativewind.

A big shoutout to the open-source community and the incredible tools and libraries that made this project possible. Special thanks to my team members for contributing so much to this project! 🎉

Also a big thank you to the authors of the

research paper for sharing their CAD system

Happy Coding! 🚀👩‍💻👨‍💻

• Android or iOS device with a camera
• Internet connection for TensorFlow.js model updates (if applicable)

1. Clone the repository:

   git clone https://github.com/VukIG/Melanoma-Detector.git

2. Install dependencies:

   cd Melanoma-Detector
   npm install

3. Run the app and Scan the QR code with the Expo app from Play Store :

   npx expo start --tunnel

4. Run the app on your emulator ( Optional if you don't want to use the expo app ):

   Press w for web, a for android emulator ( Requires the AndroidSDK setup ) or i for ios emulator ( requires xcode )    

Feel free to fork the repository and contribute to the development. Your suggestions and enhancements are more than welcome! 🙌

We welcome contributions! If you have suggestions, found a bug, or want to improve the app, please open an issue or submit a pull request.

This project is licensed under the Apache 2.0.

The detailed explanation on how this app should work is in Serbian and can be accessed through this url: https://docs.google.com/document/d/1NwlALtB-bNRuoXDWS3nWsnSi3bMCoCZO5Nre84uz1rA/edit?usp=sharing