I have used a few ML5 libraries for my previous projects, and that's how I got interested in machine learning. I think there will be so much potential using machine learning to create all kinds of cool projects.
For the first week project, I wanted to create something that I can use Google teachable machine and the imagine classification example I learned in class. Rock paper scissor was the first thing that came to my mind. I want the computer to be the component when the users play, and some indications show when users win, lost and tie. First, I trained my hand gestures for rock, paper and scissor with teachable machine. Something I thought about while training the model is if ML5 postnet library can do the same thing and how the process is like. Then I exported the trained model as json file, and imported the file into p5js.
The UI part of this game was tricky. I want the pause after each game, and I want the "win, lose, tie" title to stay on the screen for a few seconds. But, I didn't figure out how to do that. I will keep working on refining the UI.
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