# AIL geospatial analyst module available

**URL:** <https://discourse.ossbase.org/t/ail-geospatial-analyst-module-available/75>\
**Category:** hackathon.lu\
**Tags:** hackathon-2025\
**Created:** [April 9, 2025, 1:01pm UTC](https://discourse.ossbase.org/t/ail-geospatial-analyst-module-available/75 "2025-04-09T13:01:16Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![aaronkaplan](https://discourse.ossbase.org/user_avatar/discourse.ossbase.org/aaronkaplan/32/69_2.png) [@aaronkaplan](https://discourse.ossbase.org/u/aaronkaplan)\
**Post date:** [April 9, 2025, 1:01pm UTC](https://discourse.ossbase.org/t/ail-geospatial-analyst-module-available/75/1 "2025-04-09T13:01:16Z")

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@Terrtia and me have been successfully creating an LLM based “geospatial intel analyst” module for the [AIL framework](https://github.com/ail-project/ail-framewor).

The idea is that , given unstructured text, the LLM (which can run locally of course, for now it’s using openai), extracts all geolocation information and classifies it’s type (city, full address, region, state, country, continent) and returns the data in structured JSON, including lat/long.

Check out the code [here](https://github.com/ail-project/ail-framework/pull/269)

Feedback welcome as always!