SpineBridge Live is a high-impact Romanian educational demo app for an academic framework about functional recovery communication after traumatic lumbar or thoracolumbar fractures without spinal cord injury or objective neurological deficit.
The application is a polished Next.js TypeScript demo with Romanian UI, fictional seeded patient profiles, visible safety boundaries, localStorage-only demo state, and a printable consultation brief.
SpineBridge Live is not a medical diagnosis app, treatment app, exercise prescription app, or return-to-sport clearance app. It is an educational and communication-support simulator.
Required visible Romanian boundary for future UI:
Simulator educational. Nu stabileste diagnostic, tratament, exercitii sau autorizare pentru progres. Deciziile clinice raman la echipa medicala.
.
|-- AGENTS.md
|-- README.md
|-- docs/
| |-- build_log.md
| |-- demo_script.md
| |-- evaluation_rubric.md
| |-- product_spec.md
| |-- repository_plan.md
| `-- safety_boundaries.md
|-- src/
| |-- app/
| |-- components/
| |-- data/
| |-- lib/
| |-- styles/
| |-- tests/
| `-- types/
|-- package.json
|-- tailwind.config.ts
|-- tsconfig.json
`-- vitest.config.ts
docs/product_spec.md: product scope, target audience, framework summary, and implementation plandocs/safety_boundaries.md: forbidden claims, forbidden language, red flags, and safety checklistdocs/demo_script.md: live presentation flow and Romanian presenter languagedocs/evaluation_rubric.md: 0-100 scoring rubric for demo readinessdocs/repository_plan.md: recommended project growth pathdocs/build_log.md: short progress log for future Codex tasksAGENTS.md: instructions future Codex agents must follow
- Documentation scaffold: complete
- Application shell: complete
- Build/test pipeline: complete
- GitHub remote:
lupumihnea/spinebridge
npm install
npm run dev
npm test
npm run buildThe local demo runs at http://127.0.0.1:3000 when started with the current dev command.
Expand the guided simulator interactions while preserving deterministic logic, Romanian UI, fictional data, and visible safety boundaries.
MIT.