Summary
Machine learning automated residential property valuations for government tax authorities by integrating assessment and geospatial data into a unified model. The system improved valuation accuracy and consistency while meeting regulatory standards. Automated workflows enabled bulk processing and reduced manual appraisals, allowing staff to focus on complex cases. The result was faster roll completion, lower model maintenance overhead, and more defensible assessments.