What Ron and Alex did might might seem like too much work, but really, it isn’t much more than you’d be expected to do in a real job. And that’s the whole point: when you don’t have work experience doing X, hiring managers will look for things you’ve done that simulate work experience doing X.
Fortunately you only need to do build a project at this level once or twice — Ron and Alex’s projects got reused over and over for all their interviews.
So if I had to summarize the secret to a great ML project in one sentence, it would be: Build a project with an interesting dataset that took obvious effort to collect, and make it as visually impactful as possible.
WHY IT MATTERS: AI, blockchain, IOT are still early enough in their lifespan that it is easy for anyone to get in, given that they have the interest and willingness to learn. This article describes 2 students, Ron and Alex, got into AI. It reminds me very much of the early Internet years. So get in, now, while it is still relatively easy.