This is a question for more of the tech savvy. With how far technology has come how likely do you all think it would for machine learning to analyze images of morphs to give us a potential image of what the offspring could look like. It would be like the MM calculator but would assign characteristics to different genes to give us a potential idea of what could be produced, mostly for new “worlds first” morphs or combos that don’t have many examples of. It could also be usefull for morph identification as it looks at it and gives you a list of things or could be with it showing you the most relevant results first. Obviously not a replacement for keeping track of what parents produced what clutch and what the genetics involved were.
I think I explained this idea well enough.