A neural style web app, created for McHacks 2017.
Created with Gabriel Alacchi, Robert Fratila, and Alice Scott.
pAInt was a silly project, using machine learning to apply styles derived from famous art onto user-uploaded images.
Machine learning is accomplished using TensorFlow, with learning completed and style weights generated before usage in the live application.
The web app is a simple node server to interface with the Python input/outputs.
The web app supports user images in standard picture formats (JPG, PNG). Images of moderate resolution (800x600) or better are recommended, as are pictures with high granularity.
A sample usage video can be found here.
2017 Permissions granted via MIT License.