---
layout: project
title: Yinzone
description: Operating System powering the burgh's affordable housing build chain for developers and zoning regulators.
image: /assets/images/projects/yinzone.webp
card_image: /assets/images/projects/cards/yinzone-card.webp
start_date: 2026-09-26
end_date: 2026-09-27
activity_status: production
links:
  - title: yin.zone
    url: https://yin.zone
    icon: fa-solid fa-up-right-from-square
  - title: Watch the demo
    url: https://www.youtube.com/watch?v=ECZnv7R-q_8
    icon: fa-solid fa-play
  - title: src
    url: https://github.com/matmanna/yinzone
    icon: fa-brands fa-github
  - title: Pittsburgh AI Horizons
    url: https://ai-horizons-2026-ai-for-housing-hackathon.brandon831577.chatgpt.site/
    icon: fas fa-trophy
tags:
  - GIS
  - Zoning
  - React
  - Gemini
  - Hackathon
skills:
  - name: Cartography
    icon: fa-solid fa-compass-drafting
  - name: Data Analysis
    icon: fa-solid fa-diagram-project
  - name: Full-stack Web
    icon: fa-solid fa-layer-group
---

Yinzone is a parcel-level decision-support map for the City of Pittsburgh, built at the AI Horizons 2026 hackathon (Track 3 — Housing Typology, Equity & Climate Matchmaker).

Click any of ~142,000 parcels and see its overall 0–100 score, what the zoning code allows there for 16 housing types and by which approval pathway, whether the site physically fits, a rough "does it pencil?" cost screen, and every source behind each number. Deterministic code decides every score; the AI (Gemini chat + a typed site-fit model) only explains or rates from pre-computed facts, never fabricates a number.