Neuronetix:A Brain Computing AI

The human brain continuously generates electrical signals that represent neural activity and cognitive states. These signals can be captured and analyzed using Electroencephalography (EEG) techniques. Monitoring brain activity in real time provides valuable insights into mental states such as relaxation, concentration, and stress. This project presents NeuroNetix, a real-time EEG brain signal monitoring system designed to capture, process, and visualize brainwave data using embedded hardware and software technologies. The system utilizes EEG electrodes connected to a BioAmp EXG Pill amplifier to acquire brain signals from the scalp. These signals are amplified and transmitted to an Arduino microcontroller for signal acquisition and preliminary processing. The processed data is then transmitted to a software interface where it is analyzed and visualized through a real-time monitoring dashboard. The system enables continuous observation of brainwave patterns, providing a simple and cost-effective platform for studying neural activity. NeuroNetix demonstrates how integrated biomedical hardware and software systems can be used for brain signal monitoring, with potential applications in healthcare, cognitive research, and brain–computer interface technologies