Cities are expected to assess their future climate risks, but existing tools are either too generic or too technical. Many cities skip the process entirely or produce something too shallow to inform decisions.

This web-based tool generates a first-pass risk profile for a city, combining local data, future scenarios, and expert frameworks — all accessible through a simple interface.

Serving as the project’s UX engineer, I vibe-coded the entire front-end on Replit, leveraging AI-agentic tools for rapid scaffolding, component generation, and continuous refactoring. The result is a performant, accessible interface that feels effortless to use.

I collaborated with climate scientists to define a scoring model that balances hazard exposure, vulnerability, and resilience, then translated it into a dual table-and-radar view that provides both high-level snapshots and drill-down detail.

Users can seamlessly toggle between present, optimistic, and pessimistic futures, and every data point is structured to meet national and international reporting requirements.