DATA & ANALYTICS / PROJECT 04
Structural Risk Index.
From municipal PDFs to property intelligence.
Python · LandingAI · Jupyter
View repository ↗THE PROJECT
Real context.
Practical engineering.
A pipeline that extracts municipal code violations, normalizes records across South Florida cities, and ranks 1,089 properties in an interactive dashboard. Built at LandingAI Financial Hack NYC 2025.
Adapted from the project’s GitHub README. Explore the repository for implementation details, setup instructions, and source code.
Read the full documentation ↗THE APPROACH
01
Extract usable records from three of five collected cities.
02
Combine violation severity and frequency into a weighted risk index.
03
Compare properties across jurisdictions; the judgment-based weights have not been calibrated against outcomes.
WORKFLOW AT A GLANCE
Municipal PDFs → Extraction → Risk scores → Dashboard