The Poker Hand Detection using YOLOv8 project aims to develop a computer vision system capable of accurately identifying and classifying poker hands in video frames. This involves implementing the YOLOv8 object detection algorithm, a state-of-the-art deep learning model known for its speed and accuracy in detecting objects within images.