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

🎧 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.

Occipital Alpha: Eyes Open vs Closed

Open-source brain-computer interface — EEG headband → Claude interprets your thoughts → generates code, art, and music

🧠 Smart EEG Fatigue Detection System — A real-time EEG signal simulator and analyzer built with FastAPI and WebSockets. Features live brainwave plotting, data logging, and offline replay for fatigue detection and research.

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.

EEG preprocessing pipeline and alpha band analysis (eyes open vs eyes closed experiment)

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

A real-time EEG brainwave visualizer for Interaxon Muse headbands using Python and PyQtGraph.

Connect a Muse S Athena EEG to Claude for real-time brainwave interpretation, personal neural profiling, and AI-driven code, art, and music generation.