AI-powered wheelchair accessibility auditor using NVIDIA Nemotron vision models.
AccessAudit runs a 4-step autonomous agent loop for any address:
- Geocode — Converts the address to coordinates via OpenStreetMap Nominatim
- Capture — Fetches 4 Google Street View images facing N, E, S, W
- Analyze — Sends each image to
nvidia/nemotron-nano-12b-v2-vlfor accessibility analysis (sidewalks, curb cuts, ramps, obstacles, surface quality) - Synthesize —
nvidia/nemotron-3-super-120b-a12bcombines all findings into a scored report with an A–F grade and actionable recommendations
- Framework — Next.js 14 (App Router, TypeScript)
- Styling — Tailwind CSS
- AI Vision — NVIDIA Nemotron Nano 12B v2 VL
- AI Synthesis — NVIDIA Nemotron Super 120B
- Maps — React-Leaflet + OpenStreetMap tiles
- Geocoding — Nominatim (free, no key required)
- Street View — Google Street View Static API
-
Clone the repo and install dependencies:
npm install
-
Create
.env.localin the project root:NVIDIA_API_KEY=nvapi-... GOOGLE_MAPS_API_KEY=AIzaSy... -
Run the dev server:
npm run dev
-
Open http://localhost:3000 and enter any address.
Over 1.3 billion people worldwide live with some form of disability — roughly 1 in 6 of the global population. For wheelchair users, inaccessible sidewalks, missing curb cuts, and broken ramps aren't inconveniences; they are barriers to employment, healthcare, education, and daily life.
AccessAudit makes accessibility auditing instant and scalable. What once required a trained inspector and hours of fieldwork can now be done in under a minute for any address on Earth — helping city planners, disability advocates, and businesses identify and prioritize accessibility improvements before people encounter them in the real world.