Problem statement
The region's older housing stock and constrained development environment create significant friction for new housing production, especially affordable and starter homes. Developers and planners struggle to understand how zoning regulations, infrastructure limitations, and environmental constraints interact to affect project feasibility. Without a clear way to quantify these barriers, development pipelines remain slow, costly, and unpredictable.
This challenge seeks an AI-driven tool that generates a Development Ease Score for potential sites, highlighting regulatory bottlenecks, required variances, and infrastructure gaps so cities and developers can prioritize fast-track sites and identify areas needing policy or resource intervention.
Success looks like
A user can enter a parcel ID or compare multiple parcels and receive a source-grounded Development Ease Score, a plain-language explanation of the biggest barriers, and clear flags for zoning, environmental, infrastructure, or policy issues that require further review.