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Non-Invasive EEG Brainwave Visualizer & Attention Tracker
NeuroHacks India 14 hrs 4.8 rating 27.6k views
Overview & Construction Guide
Capture raw electrical brain potentials using an open hardware EEG headset. Applies digital Fast Fourier Transforms (FFT) in Python to isolate Alpha (8-12Hz) and Beta (13-30Hz) waves and track real-time student focus and meditation states.
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Bill of Materials (5)
- 1OpenBCI Cyton 8-Channel Biosensing Board (32-bit)
- 2Gold-Plated Dry EEG Snap Electrodes & Headband
- 3Bluetooth USB Dongle with FTDI Driver
- 4Python 3.10 NumPy, SciPy & BrainFlow libraries
- 5Rechargeable 3.7V LiPo Battery
Project Parameters
DisciplineGeneral / Misc
Sub-categoryBiomedical & Neuroscience
Skill LevelAdvanced
Build Time14 hrs
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