Classification of EEG signals from the brain 🧠 through OpenBCI hardware and Tensorflow-Keras API

Estimation, analysis and decomposition of brainwave spatiotemporal dynamics

🎧 Muse - The brain sensing headband plus attention level

The Aura Emotion AI system has chroma with a local embedding model, memvid qr code mp4 infinite memory, brainwave and neurochemical simulations, sociobiological reasoning, autonomous subsystem processing with a Gemini flash model so the main model is less taxed, is a MCP client with adaptive tool learning and MCP server.

The Simple ML program uses brain waves(EEG) and GSR to analyze user activity.

NeuroIDBench: An Open-Source Benchmark Framework for the Standardization of Methodology in Brainwave-based Authentication Research

Project is focused on the detection and extraction of a brain wave signal with the help of analog as well as digital circuitry. Using active electrodes on human scalp, the brain signals were fed into a series of hardware and software stages. Simple conscious movements such as blinking caused a change in the detected waveform. Although the projec…

Advanced ESP based 40Hz Gamma brain stimulator

Using Brain Computer Interface for Automation of Motors of a Wheelchair.

Electroencephelography Data taken from my Muse Headband

Challenge solution for realtime, low power compression of wave files representing brain waves

Aimed to help the ALS patients to represent their mental states through photographic composition from brainwaves

This repository contains a Real-Time Brain-Computer Interface (BCI) System for stress monitoring and control using EEG signals. It captures live brainwave data, detects stress levels using machine learning, and enables real-time responses for health, wellness, or interactive applications.

Occipital Alpha: Eyes Open vs Closed

Android application for support communication between deaf and individuals.

Alpha wave generator (Adaptive HLS streaming, iOS/Android)

FeelTheWaves is a Streamlit web app that analyzes EEG signals to classify emotional states using machine learning. Upload your EEG feature data, choose a model, visualize performance, and predict emotions in real time. Built for neuroscience, mental health research, and AI innovation.