This project is a web-based platform that processes brain signals in the form of EEG (Electroencephalogram) data to identify levels of attention. Built with Vite, React, TypeScript, and Shadcn/UI components, the app offers a smooth, responsive UI for analyzing brainwave patterns.
##Features EEG Data Input: Upload EEG data for real-time attention detection. Attention Visualization: See the attention levels through progress bars and interactive UI components. Tabs Interface: Navigate between multiple EEG readings or feature settings using tabbed navigation. Buttons & Controls: Simple buttons for uploading, analyzing, and resetting data. Progress Bars: Visualize attention levels dynamically with real-time updates.
Languages: TypeScript, Python.
Libraries and Frameworks: React, Vite, TailwindCSS, Numpy, Pandas, Matplotlib, Seaborn, Pickle
UI Component : Shadcn/ui
