[jononor]

Definitely read up on ML basics if you are going to build anything. And by ML basics I mean the concepts of supervised/unsupervised /reinforcement learning - and in particular model evaluation. It is absolutely critical for any ML-based system to have a structured way to judge how well a system works: whether it works well enough (according to some target), or which of two alternatives is better, and that the nature of the errors are not critical or maybe some of them can be mitigated etc.