Prototype personal smartphone skin lesion detection. Check out our video demo.
The repository containing our iSight project developed during the implementAI2020 hackathon hosted by MAIS. The project is divided into 3 main components, the deep learning algorithm, the backend, the app (android). All these element work together, making use of REST APIs, to efficiently communicate results.
Java 1.8 and Android APK 29 were used for the Android application. Python 3.6 was used for the flask backend and deep learning components.
The project can be installed from source for development or personal usage.
git clone https://github.com/EricZimmermann/iSight.git
cd android
./gradlew assemble
cd ../
conda create -n isight python=3.6 pip
conda activate isight
pip install -r Flask\ Backend/requirements.txt
pip install -r dl/requirements.txt