I was able to finish the time tracker too. So before, it just looked and analyzed data in a straight forward way. Which apps do you use most? Which websites do you visit most? But now, it looks at the time, and then responds accordingly. For example, since I always check my email at around 7:00 AM, my dashboard would learn to recommend Gmail in the morning and then place it lower on the list later in the day. This was actually surprisingly hard though, because I used the wrong libraries in the beginning. I thought I would have to use like pandas and like the other data libraries from python, but it turned out that I didn’t need them and I spent 45 min just overcomplicating things. I turns out, time tracker != complex data analysis.