[Python] I'm trying to use tensor flow and tensorflow lite to train a time prediction model

I've been following so many different tutorials and none of them seem to work for me. Also try to use so many AI models also didn't work

What I'm trying to do is I have a series of events from a user, their activity, the location, and the time the event happened.

I want to be able to train a LSTM model strictly on device .

I'm using tensorflow to create a model but I don't know exactly how to pass this data in to it to train. Also need to use TF functions or save infer train and load

Does anyone have any good examples that actually work? Or give me a high-level overview of how this stuff is supposed to work?

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