github.com/meyeringn
Civic Tech Builder · Philadelphia, PA
I design machine learning models and no-cost climate tools for the communities most likely to be missed — Disabled people, transit-dependent riders, low-income residents. Not as an afterthought. As the primary user.
Machine Learning for Equity
Assigns every US ZIP code a heat illness risk score before an extreme heat event peaks — so cities deploy cooling resources before hospitalizations pile up, not after. The official 2023 US heat death count: 2,415. The estimated real count: ~11,000. That gap is a policy failure. This is a proposal to close it.
Predicts which transit elevators and escalators will fail in the next 30 days — so maintenance happens before a Disabled rider shows up to a broken elevator with nowhere else to go. A credit score for mechanical equipment. One number. One ranked list. Zero riders stranded without warning.
Vibe Coding for Climate Justice
No-cost, no-framework, no-barrier climate tools — built with AI assistance and open-source data. Every tool runs in the browser. No installs. No API keys. No budget required.
How much CO₂ are you actually saving by taking the bus? This tool answers that instantly — so advocates, transit agencies, and everyday riders have a number to point to. Single HTML file. Zero dependencies. Open it anywhere.
Maps tree canopy coverage, heat risk, disability vulnerability, and equity gaps across 36 Philadelphia neighborhoods — in one place, for free, right now. Equity dashboard · Neighborhood comparison · Policy action generator · Disability + heat vulnerability tab.
Plain-language flood risk for Philadelphia renters — not insurance jargon, just answers. Enter any address, get your FEMA flood zone explained in human terms, impervious surface assessment, stormwater capacity, and renter-specific action steps. Live FEMA data. Interactive map.
"The needs of the many" is a starting point. I build for the ones the system forgot to count.
Civic Leadership