SETUP INSTRUCTIONS.txt

**Key Features**:

1. **Smart Platform Detection**  
   - Auto-detects Raspberry Pi, Linux, macOS, and WSL2  
   - Installs platform-specific dependencies  
   ```bash
   # Example dependency sets
   raspberrypi: "python3.11 pip3 git libsocketcan2 can-utils"
   linux: "python3.11 pip3 git docker.io"
   ```

2. **Security First**  
   - SHA-256 model verification  
   - Secure key generation for system operations  
   ```bash
   openssl genpkey -algorithm ED25519 -out /tmp/neuralink.key
   ```

3. **Hardware Optimization**  
   - CAN bus configuration for automotive interfaces  
   ```bash
   sudo ip link set can0 type can bitrate 500000 triple-sampling on
   ```

4. **Production-Grade Setup**  
   - Docker containerization  
   - Python virtual environment isolation  
   ```bash
   python3.11 -m venv .venv
   pip install -r requirements.txt
   ```

**Usage**:
```bash
# Make executable
chmod +x setup_neuralink.sh

# Run installation (non-root)
./setup_neuralink.sh

# Verify operation
curl -s http://localhost:8080/health | jq
# {"status":"ok","version":"4.2.0","models":["fuelnet_v4","torque_converter_v2"]}
```

**Post-Install Checklist**:
1. Reboot system for hardware permissions  
2. Connect OBD-II/CAN interface  
3. Calibrate sensors: `python -m neuralink calibrate`  
4. Start diagnostic service: `docker compose start neuralink-core`

**Troubleshooting**:
```bash
# View installation logs
tail -f neuralink_install.log

# Reset CAN interface
sudo ip link set can0 down && sudo ip link set can0 up

# Verify security keys
sudo ls -la /etc/neuralink/secure
```

This initializer implements automotive cybersecurity standards while providing a seamless setup experience across supported platforms.