Backend:
- Add web server module with Axum (localhost:2759 by default)
- Create REST API endpoints (/api/stats, /api/dashboard, /api/health)
- Add AI module with NPU support via ONNX Runtime + DirectML
- Support Intel AI Boost NPU on Intel Core Ultra processors
- Add 'serve' command to CLI for dashboard server
Frontend:
- Modern dashboard with Tailwind CSS and Chart.js
- Real-time activity statistics and visualizations
- Category distribution pie chart
- Daily activity trend line chart
- Recent activities table with filtering
AI/ML:
- NPU device detection and DirectML configuration
- ONNX Runtime integration for model inference
- Fallback to rule-based classification when no model loaded
- Support for future AI model integration
Dependencies:
- axum 0.7 (web framework)
- tower + tower-http (middleware and static files)
- ort 2.0.0-rc.10 (ONNX Runtime with DirectML)
- ndarray 0.16 + tokenizers 0.20 (ML utilities)
All tests passing (27/27)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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