• Rahul Baruah
• Sonali Mondal
• Biswajit Das

The introduction and extensive use of the Internet of Things, artificial intelligence technologies are beginning to actively used in human life. One of the most significant developments in artificial intelligence is the ability to understand the natural language spoken by the humans. Voice assistance this technology helps in controlling our new generation smart phone or our personal desktop such as laptops and computers. We speak our desire commands to ask queries such as opening applications, sending our texts, or searching our queries on the internet. There are more advance devices that efficiently allows us control the hardware settings that are available in our computer such as increasing volume or resetting screen brightness, using our voice commands. Voice assistant system also controls smart home such as google assistant in our smart phone, Amazon Alexa, or the famous Apple Siri, and also, we can control our home appliances such as our thermostat, door locks or the lights of our home, using just our voice. This paper consists a comprehensive design and of mobile automation and high-end security system using artificial neural networks. For this program that is the voice recognition system, one of the famous programming languages is used that is the Python. HTML, CSS, and JavaScript is used to give a distinctive user interface in a form of web application for the voice assistance system

Artificial Neural Network, Natural Language Processing, Machine Learning, Voice detection, Text to speech, Voice recognition

"A Machine Learning Based Approach to Control Device using Voice Recognition System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.q96-q104, April-2024, Available :http://www.jetir.org/papers/JETIR2404H13.pdf

"A Machine Learning Based Approach to Control Device using Voice Recognition System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppq96-q104, April-2024, Available at : http://www.jetir.org/papers/JETIR2404H13.pdf