In this talk, we will showcase how to build an AI-powered car robot using IoT libraries and ML.NET. We will start by discussing the hardware components such as Raspberry Pi, video camera and sensor required to build the robot. Then, we will delve into the software side of things, covering the integration of IoT libraries and ML.NET to enable object detection and deep learning capabilities for the robot. We will demonstrate how to use ML.NET to train and deploy object detection models, and how to use IoT libraries to control the robot's movement and receive sensor data. Whether you are a hobbyist or an experienced developer, this talk will provide you with practical tips and techniques to build your own AI-powered car robot using IoT libraries and ML.NET.