Would you consider a CNN that predicts what chord is being played on a guitar based on still video frames of a hand on a fretboard to be complicated? Because G

Would you consider a CNN that predicts what chord is being played on a guitar based on still video frames of a hand on a fretboard to be complicated? Because GPT-4 helped immensely with what was my very first NN ML project. I didn’t approach the problem with no knowledge as I’ve had a few ML projects over the decades (graphs clustering, PageRank, eigenfaces) and I’ve skimmed a few books on PyTorch and neural nets, worked through Karpasky’s zero to hero, etc. So I knew how to ask very specific questions and I knew the general overview but I had literally never written a single line of PyTorch code. I’m now working on the iOS app to host the model and send MIDI and OSC data to a DAW. I haven’t made an iOS app in about a decade and that was in the Obj-C days so I’ve never written a line of Swift. I have a demo app written in Swift that accesses the camera, converts frames to the model input, and makes predictions, and now I’m ready to use this to assist with labeling many more images!