[vasilzhigilei]

https://pleasetrymyapp.com

I've been working on a map that shows which neighborhoods in a city are nice/not nice with a short description.

Whenever I visit a new city, just looking at Google Maps is pretty meaningless - it's just a bunch of gray land and streets. I end up looking up Reddit posts for where to go, searching for crime maps, trying to find annotated maps, etc. to get a better idea of where to visit in a city (or even live, like when I had moved to Austin). AI generated scoring and descriptions, while imperfect, have already helped me when visiting SF recently. Early stage, so please help with submitting corrections, if you'd like!

[FinnKuhn]

I just checked a few cities I have been to and this seams surprisingly accurate. May I ask how you are collecting this data. Is it through Google reviews or how do you collect this data?

[01HNNWZ0MV43FF]

I have a similar problem where I want map-type data, but it's subjective reviews that couldn't go in OSM directly.

Are you using OSM's nodes and relations and such as foreign keys for your own overlay, or just lat/long?

[vasilzhigilei]

Just using lat/long points for the polygons.

[is234657]

Very cool! I really like the idea, the way I'd develop this further is by having live crimes reporting on it so that you know which streets to avoid , similar to what waze does where people report items

[Aliabid94]

I like the idea! In my opinion (looking at SF) it’s still too low resolution. SF in particular can vary greatly in safety, walkability, etc. even a few blocks over within a neighborhood.

[deepvibrations]

Very cool idea, accurate for London & Bristol.