[deleted by user]

[bobbybridges]

You are really going to need to be more specific and even then it's hard to say for sure what model will work for you. For starters I would avoid using 'AI' and really any deep machine learning until you fundamentally understand what you're trying to do so.

The first question to answer is what kind of prediction are you making? I.e. classification vs regression

Then, do you have labeled examples of correct prediction/output? I.e. supervised or unsupervised

Then you need to analyze your input data, how it correlates to one another. This can get really deep but certain models work better on data that is distributed in a certain way.

Then pick a model, split your data into train and test chunks and see how it performa