Walkable

Walkable AI Concierge is an interface prototype for helping people discover walking challenges that fit their location, available time and reward preferences. It supports Walkable's broader goal of encouraging walking through rewards from participating businesses. During the hackathon, we built a reusable Flutter package and standalone demo with preference inputs, recommendation cards, challenge details and join confirmation. The interface includes loading, empty and error states. The submitted demo uses a fictional challenge catalog, deterministic filtering and template-based explanations. Joining is stored locally on the screen. It does not currently call an AI model, connect to a backend, verify walks or issue rewards. The prototype establishes the user experience for a future Meta-powered concierge. Our next step is to replace the mock recommendation source with a server-side model integration connected to an available challenge catalog.