The amount of time it should take to test an idea shold be quick. Most projects require explorations, iterations, mockups, and prototypoes. With each being a very time consuming phase, being able to streamline is far too important. To imagine the ability to skip phases in a workflow or development cycle and feasably translate an idea to a finished product seems daunting, but with machine learning and the ability to identify components makes it possible.
This was a self-exploration using a neural network image classifier. By identifying hand drawn shapes against training data, items correctly identified as the closest match to its counterpart are then passed to the renderer to generate web elements.