Search Results for "open project"

Open Aimbot is an open-source aim assist framework created for Roblox and designed to provide a wide range of targeting and player-tracking features. The project offers a highly customizable interface that allows users to adjust targeting behavior, visual overlays, and activation settings. Built as a universal framework, it supports multiple exploit environments and device configurations.

AimAhead is an AI-powered aim assist tool designed for high-speed target acquisition. It captures the screen, processes the image through a selected AI model to detect enemies, and then aims towards them. Optimized for NVIDIA graphics cards, AimAhead converts ONNX models to TensorRT engine files for enhanced performance, achieving between 100 to 200 cycles per second depending on the model used.

Aimmy is a source-available AI-based aim alignment tool created for gamers who have difficulty aiming because of physical, visual, coordination, or accessibility-related limitations. 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,...

RiptermsGhost is an example of an injectable cheat for Minecraft that utilizes Java Native Interface (JNI), Java Virtual Machine Tool Interface (JVMTI), Java method hooking, and constant pool editing. It serves as a demonstration of advanced techniques for modifying Java applications at runtime, specifically targeting Minecraft. The project is currently inactive and may require a full recode due to random crashes on some versions.

AIMi is a Python-based AI aim-assist experiment that uses real-time object detection to identify human-like shapes in game footage. It is built around neural network detection and OpenCV processing rather than direct modification of game files. 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...