I. Introduction
A Brain-Computer Interface (BCI) can be defined as a system that connects a brain to a machine so that signals from the brain can be controlled by various external activities without the involvement of muscles or peripheral nerves [1] . BCI-based applications can be utilized to control wheelchairs, toys, video games, prosthetics, and computer applications. On top of that, a BCI-based home automation control system has recently been suggested based on the promised advantages of artificial intelligence. In contrast to other types of home automation systems [2] , here we are focusing on the utilization of a BCI system for home automation using the Steady-State Visual Evoked Potentials (SSVEP) interface in order to aid elderly people, people with disabilities, and people who are in serious medical conditions to acquire their basic requirements. We propose to use Google Assistant and Alexa, which are linked with Sinric Pro for the voice-controlling process.