# RootKit-Org/AI-Aimbot

World's Best AI Aimbot - CS2, Valorant, Fortnite, APEX, every game

Repository: https://github.com/RootKit-Org/AI-Aimbot
Canonical: https://ross.abutalabs.com/products/ai-aimbot
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: machine-learning, aimbot, aimbotcsgo, video-game-ai, aimbot-valorant, aimbot-tarkov, ai-aimbot, ml-aimbot, cs2, cs2-aimbot, csgo-aimbot, aimbot-apex, aimbot-fortnite, fortnite, fortnite-aimbot, new-world
Archived: true
Last push: 2025-10-09T18:01:33+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 46, release rhythm 35, longevity 100
- inputs: {"age_days": 1697, "days_push": 328, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2067, forks 427 (observed 2026-08-28T04:06:10.168810+00:00)

## What it is
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
- artifact type: application
- maturity: maintenance
- function: computer-vision, machine-learning, image-processing
- domain: computer-vision, machine-learning, gaming-tools, deep-learning
- platform: windows, python
- tags: aimbot, yolov5, game-cheating, real-time-inference, onnx, tensorrt, educational, anti-cheat-research, gpu, desktop

## Member repositories
- RootKit-Org/AI-Aimbot (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:10.168810+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:56:48.413153+00:00, confidence not recorded.
  - readme: https://github.com/RootKit-Org/AI-Aimbot (fetched 2026-08-28T04:06:10.168810+00:00, sha 44dd3b318c55)
- Data as of 2026-08-30T08:39:29.467469+00:00.