Project by Daegeun Kim
GeoEstateChat is a research project exploring how LLMs can enhance the interaction between geospatial analysis and real estate decision making. The project studies LLMs as analytical intermediaries that translate natural language questions into structured, multi-scale geospatial queries, rather than as sources of knowledge.
By integrating an LLM-driven reasoning layer with a deterministic geospatial backend, GeoEstateChat investigates how user intent, spatial scale, data filtering, and analytical logic can be inferred from ambiguous human language. The research focuses on reducing the technical barriers of GIS while preserving analytical rigor, transparency, and reproducibility.
GeoEstateChat positions LLMs as a new infrastructural layer for geospatial research, examining their potential to reshape access, workflow design, and decision support processes in urban and real-estate contexts.
