# Egalicon

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Tomasz Sobolewski](https://cerebralvalley.ai/u/50801)
- **GitHub:** https://github.com/egalicon/wowspot
- **Demo video:** https://youtu.be/srATilV6ca8
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1765

WowSpot plans a walk you can actually finish.

Being lost in an unfamiliar city is not only about streets. With a train, a meeting or a flight ahead, the deadline keeps running in the back of your mind, and every detour costs worry, not minutes. WowSpot moves that worry into code. You say where you start, where you must be and by when, and what you feel like seeing. Muse Spark reads the wish and calls the planning tools; an orienteering solver (OR-Tools), a self-hosted foot router (OSRM) and a strict validator own the clock. Every plan you see has passed nine deterministic checks: deadline, opening hours, walking times, the places you locked or removed.

On the walk you can wander freely: the app draws the line you walked, counts the minutes you have left and warns you before you must leave. Point the phone at a monument and Muse Spark names it; hold to talk ("skip the next stop, I want coffee") and Muse Voice Transcribe and Muse Spark re-plan from where you stand, still on time. At the end, Muse Image paints a postcard of the walk. Places come from open data (OpenStreetMap, Wikidata, Wikipedia, Wikivoyage) with one city-wide ranking (Top 10 / 50 / 100) and cited descriptions.

I built it solo from zero in the hackathon and walked it for real in Warsaw on 1 November.
Live app (Warsaw): 
https://wowspot.eu/?k=AtfksZYpoD2zYZphpQaDrQ 

— outside Warsaw: once the link has opened the app, go to https://wowspot.eu/?demo=1 (or Settings → Demo: simulate the walk).
A one-page guide: docs/USER_GUIDE.md in the repository.

## More from Meta Global AI Developer Hackathon

- [Phila Prince Mabuza](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1762)
- [Avanish Umesh](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1763)
- [ForkCheck](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1764)
- [Dreamer](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1766)
- [LoWisa](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1767)
- [Algorithm Forge](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1768)

---

Markdown version of https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1765. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt