User can upload the raw EEG data in the platform.

User can analyze the signal characteristics in time and frequency domain using buttons provided in the GUI.

Perform pre-processing techniques such as baseline removal, bandpass filtering to extract signals from noises. 
          

Run ICA to identify different artifacts in EEG data set.

As result, user can identify specific tasks in the EEG data in a specific time period.