Home organization app with AI and 3D mapping #200
Description
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.
Next tasks will include detailed implementation issues for backend endpoints, AI microservice, frontend 3D map UI, Docker setup, and sample mobile client.