Home organization app with AI and 3D mapping

**Feature Summary:**
Build a home organization app allowing users to catalog household items with the following capabilities:
- AI-powered image recognition for inventorying and categorizing items.
- Natural language search and smart recommendations.
- 3D map of the user's home, with ability to scan rooms (e.g., via iOS RoomPlan or AR) and overlay inventory positions.
- Frontend (React) UI, backend API server, and dedicated AI microservice architecture.

**Key requirements:**
- Room/area scanning on mobile (iOS RoomPlan/ARKit as MVP, ARCore for Android as future work).
- Support for GLB/USDZ scan file upload and anchor placement for items.
- Backend endpoints for scan lifecycle: upload, process, anchors management.
- Three.js (or similar) based 3D/2D viewer for home and item locations.
- Modular, privacy-aware AI microservice for vision and semantic analysis.
- Clean, documented Docker development setup for all components.

**Acceptance criteria:**
- Users can upload room scans, process them, and view 3D maps with item anchors.
- Users can add/edit items, attach them to anchors or locations on the map.
- The system suggests item categories/locations using AI.
- Project runs locally using Docker Compose.
- README and code are structured for further app and ML feature expansion.

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_Next tasks will include detailed implementation issues for backend endpoints, AI microservice, frontend 3D map UI, Docker setup, and sample mobile client._