NodeJS Application for EEG Signal Exploration in Decision-Making Study We've developed a web-based application using NodeJS designed to delve into the subconscious processes behind decision-making. By interfacing with the Muse S EEG (electroencephalogram) device, our platform visualizes real-time brainwave data, enabling researchers to closely examine EEG signals both before and after conscious decisions are made. This offers a unique opportunity to study the potential subconscious intentions that might precede deliberate choices. Through this application, we aim to bridge the gap between modern neuroscience and technology, showcasing how non-invasive wearable devices can shed light on the age-old debate surrounding free will and everyday decision-making. Dataset collected with this WepApp is also publicly available at: https://doi.org/10.5281/zenodo.8429740