skin-lesion-ML is a mobile app that takes photos of users skin lesions and sends it through a Machine Learning pipeline to discover cancer risks.
NOTE: Some directories are ignored in the repository due to large file sizes. For context, this model is trained on 10,000 images.
- The 'model_creation' directory requires a sub directory 'archive' that is achieved by downloading the MNIST: HAM10000 dataset for skin lesions. This can be found here: https://www.kaggle.com/datasets/kmader/skin-cancer-mnist-ham10000
- The 'backend' directory in 'react-app' requires a sub directory 'model' that is generated by running the code in the 'model_creation' directory.