Submission for Hacktoberfest Open-Source AI Challenge — Week 2: Side Hustle
What I Built
UNREACHABLE addresses a critical gap in emergency response planning: knowing a building’s location does not guarantee that an emergency vehicle can reach it.
The platform aims to identify road bottlenecks, assess vehicle-specific accessibility, analyze street images for potential obstructions, and estimate the impact of infrastructure improvements.
Potential users include emergency services, municipal authorities, and urban planners who need better information to prioritize access issues.
Demo
http://drive.google.com/file/d/1WSaQ2wPVNFKtvxH-kamM_aK3rJC_LmAl/view
Code
https://github.com/shiriei/UNREACHABLE
How I Built It
UNREACHABLE combines a web-based mapping interface with geospatial analysis and an AI-assisted visual inspection workflow. The planned architecture uses React and TypeScript for the frontend, FastAPI for backend services, GeoJSON for spatial data, and OpenAI vision capabilities to identify potential obstructions in street photographs.
The system is designed to distinguish verified information from uncertain findings, keeping human review central to safety-critical decisions.
Why Does Open Innovation Matter?
Emergency accessibility is a shared infrastructure problem, not a problem any single organization can solve alone.
Open innovation enables developers, researchers, and civic authorities to improve mapping data, validate detection methods, and adapt the platform to local road conditions. It also makes the approach more transparent, extensible, and accessible to communities that need it most.
Prize Categories
Best use of Gemma
Top comments (0)