Anti-Aimbot (Neural Network)

Anti-aimbot that uses YOLOv3-tiny to detect enemies and push your crosshair AWAY from them. The closer the enemy is to your crosshair, the stronger the repulsion — like an inverse magnet.

How it works

1. Captures a 250×250 pixel region from the center of your screen (GDI BitBlt)
2. Runs YOLOv3-tiny inference via OpenCV DNN to detect targets
3. For each detected target, calculates a repulsion vector away from it
4. Smoothly pushes the cursor in the opposite direction — closer enemy = stronger push

force = STRENGTH × (1 - distance / max_range)
push  = -normalized_direction × force × MAX_PUSH

Controls

Key	Action
Right Shift	Toggle anti-aimbot on/off

Configuration

Edit defines.h to tweak behavior:

#define ANTI_AIM_STRENGTH 1.0f       // repulsion multiplier (0.5 = subtle, 2.0 = aggressive)
#define ANTI_AIM_MAX_PUSH 15.0f      // max pixels per frame
#define ANTI_AIM_TOGGLE_KEY VK_RSHIFT // toggle key

Requirements

• Windows
• Visual Studio 2019+
• OpenCV 4.5+ (install guide)

YOLO files needed

Place these in the same directory as the executable:

• coco-dataset.labels — class labels
• yolov3-tiny.cfg — download
• yolov3-tiny.weights — download

You can train on custom game-specific datasets: https://github.com/AlexeyAB/darknet

Quick Start

1. Install OpenCV 4.5+ — follow this guide to set up OpenCV for Visual Studio
2. Clone this repo

   git clone https://github.com/silverhans/anti-aimbot.git
   

3. Open ez-neural-network-aim.sln in Visual Studio 2019+
4. Set OpenCV paths in project properties:
   • C/C++ → Additional Include Directories → C:\opencv\build\include
   • Linker → Additional Library Directories → C:\opencv\build\x64\vc15\lib
   • (adjust paths to match your OpenCV installation)
5. Build as Release x64
6. Download YOLO files and place them next to the .exe:
   • yolov3-tiny.cfg
   • yolov3-tiny.weights
   • coco-dataset.labels — text file with COCO class names (one per line: person, bicycle, car, ...)
7. Run the exe, launch your game
8. Right Shift to toggle on/off

License

MIT