Update #1

So I got the google Oauth figured out, it was surprisingly easy considering I usually struggle with auth lol. The next thing I need to do is extract features from the user’s mailbox in order to train the model.

I thought this would be easy. Key word, thought.

The problem is, some mails contain content in HTML, some in plain text, and some are a mix. So each have a different method of parsing.

There are 5 main types, which you can see in the notebook in the repo. I’m almost done with the first one(multipart/alternative) though only the plain text has been retrieved, I need to parse the html too.

I got a doctor appointment today, and I have other courses to do, so I might not be able to grind.

P.S this is a visualization of the all the information the gmail API returns for ONE mail. Please help me.