🚀 AI Bridge

A high-performance C++ core connected with Python-based Artificial Intelligence engines using pybind11.

📌 Overview

AI Bridge is a modern integration framework that combines the speed and efficiency of C++ with the flexibility and ecosystem of Python Artificial Intelligence libraries.

The project demonstrates how a C++ application can directly communicate with Python AI modules using pybind11 embedding technology.

This architecture is commonly used in:

• 🤖 Robotics systems
• 🧠 Artificial Intelligence engines
• 🚗 Autonomous systems
• 🎮 Game AI
• 🏭 Industrial automation
• 🖥️ Edge AI applications
• 🔬 Scientific computing

---

🏗️ Architecture

         ┌──────────────────┐
         │                  │
         │   C++ Engine     │
         │                  │
         └────────┬─────────┘
                  │
                  │ pybind11
                  │
         ┌────────▼─────────┐
         │                  │
         │ Python AI Layer  │
         │                  │
         └────────┬─────────┘
                  │
                  │
         ┌────────▼─────────┐
         │ Machine Learning │
         │ Models / Logic   │
         └──────────────────┘

---

✨ Features

⚡ High Performance Core

• Native C++ execution speed
• C++17 modern architecture
• Low latency AI communication

🧠 Python AI Integration

• Use Python machine learning libraries
• Easily integrate:
  • TensorFlow
  • PyTorch
  • NumPy
  • Scikit-learn
  • OpenCV

🔌 Native Python Embedding

Powered by:

• pybind11
• Python C API
• Embedded Python interpreter

🏗️ Clean Project Structure

ai-bridge/
├── cpp/
│ ├── main.cpp
│ ├── ai_bridge.cpp
│ ├── ai_bridge.h
│ ├── CMakeLists.txt
│ └── pybind11/
│
├── python/
│ ├── ai_model.py
│ ├── requirements.txt
│ └── init.py
│
├── build.sh
├── README.md
└── .gitignore

---

🛠️ Requirements

Operating System

Tested on:

• Ubuntu Linux
• Debian-based systems

Software Requirements

Install:

C++ Compiler

sudo apt install build-essential

## cMake
sudo apt install cmake

Python Development Headers

sudo apt install python3-dev

Verify:

python3 --version

## Example
Python 3.13.x

📦 Installation

Clone repository:

git clone --recursive https://github.com/bundlab/ai-bridge.git

The --recursive flag downloads the pybind11 dependency.

If already cloned:

git submodule update --init --recursive

🐍 Python Environment Setup

Create virtual environment:

python3 -m venv venv

Activate:

source venv/bin/activate

Install dependencies:

pip install -r python/requirements.txt

🔨 Build Project

Make build script executable:

chmod +x build.sh

Build:

./build.sh

Successful output:

[100%] Built target ai_app

---

🚀 Future Roadmap

Version 1.0

✅ C++ / Python bridge

✅ pybind11 integration

✅ Embedded Python runtime

Version 2.0

Planned:

• TensorFlow inference
• PyTorch model loading
• GPU acceleration
• CUDA support
• Async AI execution
• REST API interface

Version 3.0

Advanced AI Platform:

• Distributed AI inference
• Model management system
• Edge AI deployment
• Robotics integration

---

🌍 Use Cases

Robotics

C++ Hardware Control
          +
Python AI Vision

Autonomous Systems:

Sensors
  |
C++ Processing
  |
Python Decision Model

AI Applications

Fast C++ Runtime
        +
Python Intelligence

---

Contributing

Contributions are welcome.

License

This project is licensed under the MIT License.

See:

LICENSE

for details

Author

bundlab

Building modern systems with:

• C++
• Python
• Artificial Intelligence
• Robotics
• Edge Computing

⭐ If this project helps you, consider giving it a star on GitHub.