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...It uses computer vision to analyze screen captures and identify target-like objects without directly modifying game files. The project is built in C# with .NET, WPF, DirectML, ONNX, and YOLOv8. It includes a full graphical interface so users can adjust detection confidence, field of view, movement behavior, visual feedback, models, and configurations without writing code. Aimmy also supports model and configuration swapping, including community-made resources through its own ecosystem. Because it can affect gameplay fairness, it should be considered appropriate only for accessibility use, private testing, or contexts where the game rules explicitly allow assistive tools.

...The project presents itself as a beta implementation, with current behavior depending heavily on processor performance, model accuracy, and screen conditions. It includes a simple object-detector interface so users can see how the system recognizes targets during testing. The repository describes a CPU-heavy version with limited GPU usage and notes plans for faster GPU-oriented improvements. Because it is designed around game targeting behavior, it should only be discussed and used in authorized, accessibility-focused, private, or noncompetitive environments.