I'm not using it at this moment, but in a couple of weeks I'll have a newborn, and I was thinking of taking pictures of him every time he is upset, and then tagging the photo with what ends up being the resolution (feed, change, or nap) and seeing if I could build a classifier that could figure out what he needs just from a picture of his angry face. Semi-related, but if anyone is using the AWS tools for their AI, pl…
I think the problem you'll end up having is that in some/most cases you are never really certain what the problem was.
Feeding might make the crying stop but you have no way of knowing if the reason for the crying was hunger. Similar problems for sleep, diaper changing, etc.
Every time the crying stops you can never be certain if you just made them temporarily forget about the root problem or if you did properly identify the root cause.
TL/DR my hypothesis after raising my own kids, is that the data will be almost all noise with very little perceptible signal.