This project improved the foundations for applying tried-and-tested machine learning (ML) approaches to the built environment. This mini project reduced the cost of creating and deploying ML systems by creating versatile and extendable Application programming interfaces (APIs), data management infrastructure and mobile applications.
Outcomes
The output of this project already facilitated new academic research in urban economics and real estate. For instance, the automatic classification of the UK housing stock into vintages is underway and its coverage can be followed in real time at this interactive map: [ https://thies.carto.com/builder/359c34d0-9d3b-481a-b3b9-abb75bced8e6/embed] A future version of the APIs might be commercialised in areas like mortgage origination, insurance claim processing or property tax estimation.
Method
Data analysis
Next Steps
Development of a commercial API is the next step for continuing this work.
