Brainwave EEG Visualizer and Predictor

This project is a Brainwave EEG visualizer and predictor that includes predictions from a model trained at TUKL NUST. It visualizes EEG files using Rust.

Features

1. Visualization of the EEG files
2. Predictions from the deep learnin model
3. Storing of EEG files in database for further fine tuning

Technology Used

1. Vue.js for Frontend
2. Flask for the backend
3. RUST for visualizing EEG files
4. MySQL for storing files

Instructions

Frontend

1. Navigate to the frontend/app directory.
2. Run the following commands:

   npm install
   npm run serve

Backend

1. Navigate to the backend/server directory.
2. Install the required dependencies:

   pip install -r requirements.txt

3. Run the backend server:

   python server.py

4. Additionally, run the model:

   python model.py

Database

The database schema is given in the backend/db directory.

Versions Used

• Node.js: 14.17.0
• Python: 3.10.11

Screenshots

Login

Welcome

Visualization

Prediction

File Store

Sample Report

Credits

For visualization of EEG files, web-edf-viewer repository was consulted.