feat: Jarvis v2 - CPU optimized always-listening for iMac Ubuntu

- PipeWire/pw-record backend (no PortAudio needed) - tested mic live
- VAD: Energy (immediate) + Silero (torch CPU) switchable
- Wakeword: openWakeWord TFLite hey_jarvis 0.4
- STT: faster-whisper base int8 CPU - model loads OK on i3
- SpeakerID: ECAPA embeddings + fallback stats, enrollment store
- Vision: OpenCV Haar + face_recognition + webcam cam0 640x480 verified
- LLM: ollama/qwen2.5:3b, gemini_cli, hermes_api, echo strategies
- TTS: Piper + espeak + echo fallbacks
- Core pipeline: IDLE -> WAKE -> RECORDING -> STT -> SpeakerID/FaceID fusion -> LLM -> TTS -> followup window
- Config via jarvis.yaml, soul.md persona
- CLI tools: run, devices, enroll-speaker, enroll-face, test-vad, test-mic
- Systemd user service ready
- Tested on iMac 2010 i3 550 15GB Ubuntu 26.04 CPU-only

.gitignore

@@ -0,0 +1,14 @@
+__pycache__/
+*.pyc
+.venv/
+venv/
+.env
+data/*.log
+data/transcriptions/
+data/speakers/*.npy
+data/faces/*.npy
+models/
+*.wav
+.DS_Store
+/tmp/
+jarvis.yaml