Backend-first setup:

python -m venv .venv
.\.venv\Scripts\Activate.ps1
pip install -r requirements.txt
python -m src.api.server

The backend binds to 0.0.0.0:8000 so it's reachable from your LAN (e.g. http://YOUR_LAN_IP:8000).

cd app
cp .env.example .env
# Edit .env: set EXPO_PUBLIC_API_BASE_URL to your backend URL (e.g. http://192.168.1.100:8000)
# localhost does not work on a physical phone — use your machine's LAN IP
npm install
npx expo start

Scan the QR code with Expo Go. Ensure your phone and backend are on the same network.

• Backend (.env at repo root): Copy .env.example to .env. Set INFERENCE_SERVICE_URL to your EC2 GPU endpoint (e.g. http://your-gpu-ip:9000).
• Expo (app/.env): Set EXPO_PUBLIC_API_BASE_URL to your backend URL. Use LAN IP for phone testing.
• CI: Set SUPERMEMORY_API_KEY and SUPERMEMORY_BASE_URL as GitHub secrets.

This project was built with assistance from AI tools (including Cursor, Codex, and Claude Code) for code generation, refactoring, and debugging. AI was used to accelerate implementation of features such as the inspection pipeline, PDF report generation, voice commands, and integration with external APIs.