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A sport app for casuals and beginners AI-driven workout plans and effortless tracking tailored for everyday routines, without the hardcore fitness fluff.
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| Component | Status | Link |
|---|---|---|
| Landing page | Live | taqix.github.io/hackyeah-2026 |
| Web app | Live | taqix.github.io/hackyeah-2026/app |
| Mobile app | Live demo (React Native Web) | taqix.github.io/hackyeah-2026/phone |
Note: The mobile app is fully ready and can be built for both Android and iOS, but requires a configured
.envfile to run locally.
To test Movo, simply open the live app/mobile demo in your browser, then sign in or continue as a guest:
For details on how the project is built and deployed, check out the GitHub Pages Deployment Guide.
Not available to download from the App Store / Google Play yet.
- AI Plan Generation — Feature flow, setup, prompts, validation, error handling, testing, and provider replacement.
- AI JSON Contract — Request/response schemas, sport metrics, scheduling rules, and complete examples.
- FIT/GPX Workout Summaries — Extraction API, moving time, elevation gain, limits, and verification (storage is deferred).