neyboy-AI

AI learns how to play Neyboy game: https://neyboy.com.br/

Introduction

This is a project used in one of my course ministrations. It's a simple implementation of an AI learning how to play by itself. It uses a simple Neural Network with 2 inputs:

• Character angle from 0.0 to 1.0 (left: 0.0; right: 1.0);
• Character angle speed (negative speed: < 0.5; positive speed > 0.5);

To get those inputs, python will scan desktop screen to find the game using pixel's colors. The result of the NN is an output from 0.0 to 1.0 that means:

• < 0.3: press left;
• > 0.3 and < 0.7: do nothing;
• > 0.7: press right;

It uses genetic algorithm to classify the best genome in a generation to evolute the network.

How to run

First, you need to download the repository:

git clone https://github.com/rosostolato/neyboy-AI.git

Then install dependencies:

pip install Pillow
pip install numpy
pip install pynput

Now, open https://neyboy.com.br/ in browser and make sure that the window is visible in screen. And in a terminal run the following command:

python .\bot.py

P.S. To make it running automatically, just let you mouse over the play button and it will fire click automatically.