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AI-Aimbot is a computer vision project that demonstrates how artificial intelligence can be used to automatically identify and target opponents in video games. The system uses an object detection model based on the YOLOv5 architecture to detect human-shaped characters in gameplay screenshots or video frames. Once a target is identified, the program automatically adjusts the player’s aim toward the detected target, effectively automating the aiming process in first-person shooter games. The project emphasizes that it is intended for educational purposes to illustrate potential vulnerabilities in game design and anti-cheat systems. Because the system relies solely on visual detection rather than reading game memory, it attempts to bypass certain traditional anti-cheat detection methods.
Features
- Real-time object detection using YOLOv5 to identify targets in game frames
- Automated aiming system that adjusts mouse movement toward detected players
- Multiple performance modes including standard Python, ONNX, and TensorRT versions
- Configurable detection confidence thresholds and aiming parameters
- Visual-only detection approach designed to avoid memory-based anti-cheat systems
- Support for multiple games with humanoid character detection
Project Samples
