Seizures

detection of the epileptic seizures on the given dataset using machine learning by extraction of PyEEG dataset and flask web farmework.

Employed the following ML algorithms:

     * Nearest Neighbors 
     * SVM
     * Decision Tree
     * Random Forest
     * AdaBoost
     * Naive Bayes-

Link to the web app:= http://minsez2.herokuapp.com/

Sample data Upload file for the webapp:- https://github.com/RanaRauff/Seizures/tree/master/sample_data_upload_file

Screenshots of the app

Main Dashboard:

synopsis of all algorithms implemented along with the warning on the most probable subjects to be epileptic as prognosticated by the corresponding algorithms.

Analyzation with multiple algorithms:

How do I run this project locally?

1. Clone the repository:
   git clone https://github.com/RanaRauff/Seizures.git
2. Run the server:
   python myapp.py
3. And open 127.0.0.1:5000 in your web browser.