This project uses a YOLOv5 neural network to perform object detection on game screens, identifying and tracking enemy characters to automate aiming. It reads screen frames, runs inference to locate targets, and converts detections into mouse control signals. Multiple versions exist optimized for speed, including an ONNX-exported model variant.