I'm working on a neighbourhood analysis app. It gives people looking for a new apartment or travelling to a new city all the information they need at a glance. I ingested a lot of public info into a database and combined it with routing services to provide a simplified analysis of any spot. This includes local infrastructure and amenities, quality of public transport access, distances to the city center or your workplace, demographics and more. One thing I wanted to make sure is to keep everything local, since those API calls can get very expensive very quickly. I am learning a ton here.
I'm currently close to the public release. After that, I want to learn some ML techniques to predict Pieter Levels' Hoodmaps classifications from my publically sourced data. It would be cool to have accurate automatic predictions of the places-to-be for every city.