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UID:pretalx-qgis-uc2025-H3SKPN@talks.staging.osgeo.org
DTSTART;TZID=CET:20250603T133000
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DESCRIPTION:Modeling the spatial and temporal dynamics of natural and human
 -made processes often requires the development of complex models within Ge
 ographic Information Systems (GIS). As a result\, this task has been limit
 ed to highly skilled GIS professionals. Our goal is to lower the entry bar
 rier by developing an AI-powered modeling assistant called IntelliGeo\, wh
 ich facilitates the construction of geoprocessing workflows in the QGIS's 
 Model Designer.\nIntelliGeo is an open-source QGIS plugin that leverages t
 he power of Large Language Models (LLMs) to make geospatial analysis more 
 intuitive and efficient. It supports an iterative model-building process i
 n which users define their requirements\, refine them based on IntelliGeo
 ’s outputs\, and incorporate new insights gained through interactions wi
 th the plugin and testing the generated models.\nTo generate a model\, Int
 elliGeo considers various factors\, including user-defined requirements\, 
 available geoprocessing tools in QGIS\, data loaded in the table of conten
 ts\, and previously generated models. Currently\, the model generation pro
 cess is powered by general-purpose LLMs\, which we instruct to produce geo
 processing models. However\, user interactions with the LLMs will be used 
 later to fine-tune an open-source LLM specifically for solving GIS-related
  problems.\nAt the QGIS User Conference 2024\, we presented the initial st
 eps of the plugin's development and received valuable feedback that helped
  steer our progress. Since then\, we have made significant advancements\, 
 and in this workshop\, we will showcase the evolution of IntelliGeo and de
 monstrate its current capabilities.\nWorkshop Agenda:   \n- Introduction t
 o LLM Integration into GIS (10 minutes)\n- Installation and connecting to 
 LLM API Services (10 minutes)\n- Step-by-Step Tutorial Using IntelliGeo (6
 0 minutes)  \n- Wrap up and Q&A (10 minutes)
DTSTAMP:20260513T063727Z
LOCATION:KO25 (WS4)
SUMMARY:AI-powered model building in QGIS - Gustavo Garcia\, Mahdi Farnaghi
URL:https://talks.staging.osgeo.org/qgis-uc2025/talk/H3SKPN/
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