Cheating in games using AI - Triggerbot, Aimbot, Silent aim

Creating custom Yolov5 models, Learn how to make Aimbot, Triggerbot, and silent aim from the data given by the model.

What you'll learn:
Installing Python, and AI inferencing packages.
Creating a working Trigger bot.
Setting up and using an Arduino Leonardo with host shield.
Creating Aim bot and silent aim.
Optimizing script performance by using different methods .

Requirements:
Coding experience
Soldering kit
Arduino Leonardo R3
Usb host shield for Arduino

Description:
A new generation of high level cheats are being made. In this course I will teach you the basics on how to develop these cheats yourself. Undetectable third party cheats will allow you to climb the ranks in your favorite video games.
The cheats being developed do not breach any copyright laws as it does not alter game memory or code.
The course will teach you how to develop external cheats allowing for insane aim and reaction time.
The course content:
Collecting or using data from online
How to label data
Training yolov5 model
Running inferences with yolov5 model and how to optimize for speed
How to create basic external cheats
Creating a mouse driver
How to make more advance cheats
Creating UI
Additional optimizations
I provide every resource used or shown on Udemy, this includes my scripts, trained model and data.
I explain all my code in depth so you wont need to stare at the code wondering what it does. Prior python knowledge is recommended.
For best results I recommend you have a modern Nvidia GPU.
I will provide tips and tricks when using cheats like these including additional methods to not be punished.
I will be happy to answer any questions. However, I do recommend if the problem is with a certain installation or package that you ask the source owner.

Who this course is for:
Gamers
Pythons developers interested in external cheats.
Pythons developers learning AI

More Info