feat: Meeting Assistant MVP - Complete implementation

Enterprise Meeting Knowledge Management System with:

Backend (FastAPI):
- Authentication proxy with JWT (pj-auth-api integration)
- MySQL database with 4 tables (users, meetings, conclusions, actions)
- Meeting CRUD with system code generation (C-YYYYMMDD-XX, A-YYYYMMDD-XX)
- Dify LLM integration for AI summarization
- Excel export with openpyxl
- 20 unit tests (all passing)

Client (Electron):
- Login page with company auth
- Meeting list with create/delete
- Meeting detail with real-time transcription
- Editable transcript textarea (single block, easy editing)
- AI summarization with conclusions/action items
- 5-second segment recording (efficient for long meetings)

Sidecar (Python):
- faster-whisper medium model with int8 quantization
- ONNX Runtime VAD (lightweight, ~20MB vs PyTorch ~2GB)
- Chinese punctuation processing
- OpenCC for Traditional Chinese conversion
- Anti-hallucination parameters
- Auto-cleanup of temp audio files

OpenSpec:
- add-meeting-assistant-mvp (47 tasks, archived)
- add-realtime-transcription (29 tasks, archived)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

sidecar/build.py

@@ -0,0 +1,45 @@
+#!/usr/bin/env python3
+"""
+Build script for creating standalone transcriber executable using PyInstaller.
+"""
+
+import subprocess
+import sys
+import os
+
+
+def build():
+    """Build the transcriber executable."""
+    # PyInstaller command
+    cmd = [
+        sys.executable, "-m", "PyInstaller",
+        "--onefile",
+        "--name", "transcriber",
+        "--distpath", "dist",
+        "--workpath", "build",
+        "--specpath", "build",
+        "--hidden-import", "faster_whisper",
+        "--hidden-import", "opencc",
+        "--hidden-import", "numpy",
+        "--hidden-import", "ctranslate2",
+        "--hidden-import", "huggingface_hub",
+        "--hidden-import", "tokenizers",
+        "--collect-data", "faster_whisper",
+        "--collect-data", "opencc",
+        "transcriber.py"
+    ]
+
+    print("Building transcriber executable...")
+    print(f"Command: {' '.join(cmd)}")
+
+    result = subprocess.run(cmd, cwd=os.path.dirname(os.path.abspath(__file__)))
+
+    if result.returncode == 0:
+        print("\nBuild successful! Executable created at: dist/transcriber")
+    else:
+        print("\nBuild failed!")
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    build()