SASers - Find the best plot with us

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Team Name	SASers
Track	Public Sector
Use Case	Choosing the ideal plot of land for a home is one of life's most important and stressful decisions. The process is inherently complex, fraught with risk, and requires buyers to navigate a maze of information chaos. Key data is scattered across dozens of public and commercial sources, from geo-portals and zoning plans to land registries, and understanding and comparing it all is time-consuming and requires specialized knowledge. Existing tools on the market focus on generating reports for a single, user-specified plot. They serve the purpose of verification, not discovery. They fail to answer every buyer's fundamental question: "Where do I even begin? Which of the hundreds of thousands of plots in the region best fit my unique needs?". Our project challenges this status quo.
Technology	SAS Viya (SAS model studio, Explore and Visualize, python)
Region	EMEA
Team lead	Patryk Kosmowski - @Lawisz
Team members	@Kociubson , @Wojtek1,, @Oliwka , @sigiemka
Social media handles	www.linkedin.com/in/patrykkosmowski www.linkedin.com/in/wojciech-krawczyk-429464257/ www.linkedin.com/in/mateusz-kociuba-071415383/ www.linkedin.com/in/oliwia-k%C4%99skrawiec/
Is your team interested in participating in an interview?	Y
Optional: Expand on your technology expertise	Geospatial Analysis: QGIS This was our hub for geospatial operations. In QGIS, we analyzed data acquired from OpenStreetMap and public sources, performing key spatial calculations such as distances and object densities. Data Cleaning: Microsoft Excel Data exported from QGIS underwent initial verification and cleaning. Excel allowed for the quick, manual removal of obvious errors, preparing the data for the next stage.