RootKit-Org/AI-Aimbot

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

2067 stars · 427 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python application that uses a YOLOv5-based computer vision model to detect humanoid targets on screen and assist aiming in FPS games like CS2, Valorant, Fortnite, and Apex. It is explicitly framed as an educational demonstration of AI-driven cheating vulnerabilities and is no longer officially supported by its maintainers.

Use cases

• detect humanoid players in fps games with yolov5
• study how ai aimbots work to defend against them
• run real-time object detection on a game screen
• benchmark yolov5 inference with cuda, onnx, and tensorrt
• learn computer vision game automation in python

When to choose

• you are researching ai-driven cheating to strengthen anti-cheat systems
• you want a hands-on educational example of real-time YOLOv5 object detection
• you want to fork and extend a visual-only detection pipeline on an Nvidia GPU

When to avoid

• you want supported, maintained software - the project is officially unsupported
• you intend to use it to cheat in online games, risking bans and violating terms of service
• you lack an Nvidia RTX-class GPU and CUDA toolkit
• you need production-grade or enterprise-supported tooling

Facets

application · maturity maintenance

computer-vision machine-learning image-processing computer-vision machine-learning gaming-tools deep-learning windows python aimbot yolov5 game-cheating real-time-inference onnx tensorrt educational anti-cheat-research gpu desktop

Member repositories

For agents

markdown · JSON · MCP: product_card(name="RootKit-Org/AI-Aimbot")