Game Bot is an artificial intelligence that learns to play any game by watching your actions. It records your keyboard and mouse movements while you play, then trains a deep learning model to mimic your gameplay.

• Records your keyboard and mouse actions while you play any game
• Trains a neural network to learn your play style
• Lets the AI play the game for you using the trained model

1. Record Gameplay: Run the dataset creation script and play your game. The program will record your actions and screenshots.
2. Train the Model: Use the training script to teach the AI how you play.
3. Let the AI Play: Run the AI script to watch the bot play the game using your style.

• Make sure you have Python 3.10 installed (recommended for compatibility with TensorFlow and Keras).
• Install the required Python packages:

  pip install -r requirements.txt
  

1. Run the dataset creation script:

   python create_dataset.py
   

2. Play your game. The program will record your actions.
3. Stop the script with Ctrl+C when done.

Train the AI using your recorded data:

python train.py

Let the AI play the game:

python ai.py

To monitor training progress:

tensorboard --logdir=Data/Checkpoints/logs

• Tested with Python 3.10.0 and 3.6.0
• This project is still under development
• If you encounter errors about missing data, make sure you have run create_dataset.py and played your game to generate training data before training or running the AI.
• If you see errors about missing modules, ensure you are using Python 3.10 and have installed all requirements.

1. Download and install Python 3.10.0: https://www.python.org/downloads/release/python-3100/
2. Open Command Prompt and run:

   pip install -r requirements.txt
   

Feel free to contribute or open issues. Enjoy teaching your AI to play games!