This project implements a real-time computer vision aimbot for video games, leveraging YOLO neural networks for player/enemy detection from game frames. It runs inference on GPU using CUDA with TensorRT for NVIDIA cards or DirectML for cross-vendor compatibility. The system captures game screen frames, applies object detection to locate targets, and outputs mouse/aim commands to track and lock onto enemies.