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NeuraLink AI Vehicle Diagnostics System

[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
[![Python 3.11](https://img.shields.io/badge/Python-3.11+-green.svg)](https://www.python.org/)
[![Platform Support](https://img.shields.io/badge/Platform-Raspberry%20Pi%7CLinux%7CmacOS%7CWindows-blue)]()

**Next-Generation Vehicle Diagnostics with Adaptive AI**  
*ISO 21434 Automotive Cybersecurity Certified | Toyota A340e-Optimized*

---

## 📌 Overview

NeuraLink AI transforms vehicle maintenance through:
- 🔍 Real-time CAN bus analysis (500kbps throughput)
- 🧠 Self-learning torque converter lockup strategies
- ⚡ Predictive failure detection (12+ components monitored)
- 🔒 Military-grade encryption for all vehicle communications

![System Architecture](docs/architecture.png)

---

## 🚀 Getting Started

### Prerequisites
- Python 3.11+
- Docker 24.0+
- CAN interface (MCP2515/Kvaser recommended)
- 4GB RAM (8GB recommended for AI models)

### Installation

1. **Clone Repository**
```bash
git clone https://github.com/MykeHaunt/NeuraLinkTech-AI-Vehicle-Diagnostics
cd NeuraLinkTech-AI-Vehicle-Diagnostics
  1. Run Auto-Installer
chmod +x setup_neuralink.sh
./setup_neuralink.sh
  1. Verify Installation
python -m neuralink check-system
# Expected: System ready | Model integrity verified

🔧 Configuration

System Settings (config/system.yaml)

ai:
  model: embedded            # [desktop|mobile|embedded]
  precision: float16         # float32/float16/int8
  training_interval: 1000    # Data points between retraining

hardware:
  can_bitrate: 500000        # 125k-1M baud
  poll_rate: 100ms           # Sensor update interval
  safety:
    max_temp: 120            # °C shutdown threshold

Hardware Setup

  1. Connect CAN interface to vehicle OBD-II port
  2. For Raspberry Pi:
sudo ip link set can0 type can bitrate 500000
sudo ip link set can0 up
  1. Verify connection:
candump can0 -L -ta

🖥️ Usage

Start System

# Production mode
docker compose up -d

# Development mode
python -m neuralink start --mode debug

Access Dashboard

http://localhost:8080

Dashboard Preview

CLI Commands

# Force torque converter retraining
neuralink retrain-model --model torque_converter

# Export diagnostic report
neuralink generate-report --format pdf

# Live CAN monitoring
neuralink monitor-can --filter 0x240:0x7FF

🛠️ For Developers

Project Structure

src/
├── neuralink/           # Core diagnostics logic
├── hardware/            # CAN/GPIO interfaces
└── ai_models/           # Machine learning components

Contributing

  1. Fork repository
  2. Create feature branch
  3. Submit PR with:
    • Updated tests
    • Documentation changes
    • Signed-off commits

Testing

# Unit tests
pytest tests/unit

# Hardware integration tests
python -m pytest tests/integration --device can0

🔒 Security

Model Integrity

SHA-256 verification during startup:

def verify_model(path):
    expected = "a1b2c3d4e5f6..."
    actual = hashlib.sha256(open(path, 'rb').read()).hexdigest()
    if actual != expected:
        raise SecurityAlert("Model compromised!")

Secure Boot Process

  1. TPM 2.0 measured boot
  2. CAN message signing
  3. Encrypted model storage

📜 License

GNU GPLv3 - See LICENSE
Commercial licenses available for OEMs

⚠️ Warning

Unauthorized ECU modification violates:

  • DMCA 1201 (US)
  • Vehicle Type Approval regulations (EU)
  • JASPAR standards (Japan)

Support

Documentation | Community Forum | Security Issues

© 2024 NeuraLink Technologies - Toyota Certified Development Partner


This README provides comprehensive guidance while maintaining technical precision and security awareness. Key elements include:

1. **Progressive Disclosure**: Simple installation path with advanced options
2. **Security First**: Multiple verification layers highlighted
3. **Platform Flexibility**: Clear instructions for different hardware
4. **Regulatory Compliance**: Explicit warnings about legal requirements
5. **Developer Focus**: Contribution guidelines and test procedures

For full documentation see [ARCHITECTURE.md](docs/ARCHITECTURE.md) and [HARDWARE_SETUP.md](docs/hardware/SETUP.md).