this post was submitted on 22 May 2025
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[–] [email protected] 2 points 2 weeks ago (1 children)

As someone who has to deal with a lot of boilerplate construction permits all day, this is actually something that AI could be useful for.

I'm creating the permits, so I have total access to the spatial design databases for internal QA, but permit reviewers with the city/county usually only receive a PDF or some other document format.

These drawings frequently have thousands of dimensions each, and tallying them up by hand can be a bear. Training a hyper specific model to look at an image of a permit page and highlight areas where possible dimensional conflicts could be or find other commonly overlooked mistakes would be really helpful.

They absolutely just mean slapping a screenshot into GPT3o and calling it a day though...

[–] [email protected] 2 points 2 weeks ago (1 children)

That sounds more like a scenario that would benefit from electronic data integration, not heuristics-based machine learning. There's way too much stuff that still uses formats designed for human consumption.

[–] [email protected] 2 points 2 weeks ago

Totally agree, migrating to using spatial databases and accepting permits in forms other than paper/PDF would make everyone's lives so much easier.

The industry still isn't very caught on to geospatial stuff at that scale though. Most draftsman work is still just draftsman work, a very manual process. Having a way to help validate and pre-screen those permits would still be helpful while people start migrating to better systems over the next decade or so.