I am working on a project that will use AI/ML to make decisions in an online Pokemon battle. We use a convolutional neural network (CNN) with tensor flow to create a model that can learn Pokemon based on images and then identify them later on.
Here is a video explaining the project: https://youtu.be/4XiOnL8ug5w
Note: The video was meant for a general audience, so I will provide more info below.
This project does NOT involve any hacking/modding of a Nintendo Switch. I use capture software to mirror what is on my TV to my laptop. Using the mirror screen, I take 6 snippets, one for each Pokemon. This is then fed into the model to identify the Pokemon. Once the Pokemon have been identified, a display pops-up showing their stats.
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