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

pyproject.toml

@@ -0,0 +1,30 @@
+[project]
+name = "jarvis-v2"
+version = "0.2.0"
+description = "Always-listening voice assistant - CPU optimized"
+readme = "README.md"
+requires-python = ">=3.10"
+dependencies = [
+    "numpy<2",
+    "sounddevice",
+    "soundfile",
+    "openwakeword",
+    "faster-whisper",
+    "onnxruntime",
+    "torch",
+    "torchaudio",
+    "silero-vad",
+    "webrtcvad-wheels",
+    "scipy",
+    "piper-tts",
+    "scikit-learn",
+    "opencv-python-headless",
+    "pyyaml",
+    "requests",
+    "python-dotenv",
+    "ollama",
+    "tqdm",
+]
+
+[project.scripts]
+jarvis = "jarvis.cli:main"