feat: Complete Rust port of WiFi-DensePose with modular crates

Major changes:
- Organized Python v1 implementation into v1/ subdirectory
- Created Rust workspace with 9 modular crates:
  - wifi-densepose-core: Core types, traits, errors
  - wifi-densepose-signal: CSI processing, phase sanitization, FFT
  - wifi-densepose-nn: Neural network inference (ONNX/Candle/tch)
  - wifi-densepose-api: Axum-based REST/WebSocket API
  - wifi-densepose-db: SQLx database layer
  - wifi-densepose-config: Configuration management
  - wifi-densepose-hardware: Hardware abstraction
  - wifi-densepose-wasm: WebAssembly bindings
  - wifi-densepose-cli: Command-line interface

Documentation:
- ADR-001: Workspace structure
- ADR-002: Signal processing library selection
- ADR-003: Neural network inference strategy
- DDD domain model with bounded contexts

Testing:
- 69 tests passing across all crates
- Signal processing: 45 tests
- Neural networks: 21 tests
- Core: 3 doc tests

Performance targets:
- 10x faster CSI processing (~0.5ms vs ~5ms)
- 5x lower memory usage (~100MB vs ~500MB)
- WASM support for browser deployment

.mcp.json

@@ -0,0 +1,20 @@
+{
+  "mcpServers": {
+    "claude-flow": {
+      "command": "npx",
+      "args": [
+        "@claude-flow/cli@latest",
+        "mcp",
+        "start"
+      ],
+      "env": {
+        "CLAUDE_FLOW_MODE": "v3",
+        "CLAUDE_FLOW_HOOKS_ENABLED": "true",
+        "CLAUDE_FLOW_TOPOLOGY": "hierarchical-mesh",
+        "CLAUDE_FLOW_MAX_AGENTS": "15",
+        "CLAUDE_FLOW_MEMORY_BACKEND": "hybrid"
+      },
+      "autoStart": false
+    }
+  }
+}