Pavlov

Overview

Pavlov is a real-time feedback app that uses EEG data from Muse 2 to make you more mindful. It detects when your mind drifts and provides a brief beep to refocus you, helping you stay present and aware.

Setup Instructions

1. Clone the repository:

   git clone https://github.com/Daisuke134/NF_MUSE.git

2. Navigate to the cloned directory:

   cd NF_MUSE

3. Install required libraries:

   pip install -r requirements.txt

Running the Predictions

To start making real-time predictions, run:

python predict.py

※Make sure your Muse device is connected and streaming data.

Training and Evaluation

If you wish to evaluate the model's performance or retrain it with new data, follow these steps:

1. Download the training data CSV:

   curl -L -o training_data/01-18--22-41-05.csv "https://drive.google.com/uc?export=download&id=1InAOM7XTEpIAwKFhyzCfsYTwFx0rgFnz"

2. Generate training data text file from CSV:

   python data.py

3. Train and evaluate the Random Forest model(This will use the generated text file to train the model and output its performance metrics):

   python model.py

Contributing

Please feel free to contribute to the project by making a pull request or opening an issue.

License

This project is licensed under the MIT License - see the LICENSE file for details.

For any questions or support, please contact [keiodaisuke@gmail.com].