07 · Urban Planning
100-pt
scoring algorithm
Cities must grow smarter, not just bigger. An AI-powered urban planning platform that identifies underutilized land for sustainable infill development.
The Exhibit
01·Problem
Urban sprawl destroys forests and wetlands, while cities sit on abandoned parking lots and concrete strips that trap heat and increase flood risk. Planners lack a unified tool to identify these infill sites, generate actionable sustainability metrics, and produce instant financial proposals.
02·Approach
- 01
AI-Powered Site Discovery uses Google Gemini to scan satellite imagery and map coordinates, automatically finding underused land while skipping sensitive areas like schools and parks.
- 02
The Impact Engine calculates historical temperature baselines and runs linear regression to visualize the 'Cost of Inaction' if sites remain as asphalt.
- 03
Generates precise sustainability metrics for Carbon Reduction, Urban Cooling, and Biodiversity based on EPA, IPCC, and Stanford InVEST models.
- 04
Gemini 3 Pro generates realistic architectural 'after' visuals directly on top of real site photos.
- 05
FastAPI backend compiles all financial ROI, environmental metrics, and AI visuals into a professional PDF proposal using ReportLab.
03·Architecture
Swipe to explore
04·Results
100-pt
multi-factor scoring algorithm
5+
sustainability models integrated
Instant
AI site rendering and PDF proposals
05·Stack
React · Vite · FastAPI · Python · Google Gemini · Mapbox · Google Maps API · ReportLab