Face Recognition-Based Authenticated Voice Assistant System

International Journal of Computer Science and Engineering

© 2024 by SSRG - IJCSE Journal

Volume 11 Issue 6

Year of Publication : 2024

Authors : M. Tirumal, M. Sai Teja, A. Thushar Babu, Kasi Bandla

10.14445/23488387/IJCSE-V11I6P107

How to Cite?

M. Tirumal, M. Sai Teja, A. Thushar Babu, Kasi Bandla, "Face Recognition-Based Authenticated Voice Assistant System," SSRG International Journal of Computer Science and Engineering , vol. 11,  no. 6, pp. 47-52, 2024. Crossref, https://doi.org/10.14445/23488387/IJCSE-V11I6P107

Abstract:

This paper presents an authenticated Voice Assistant System based on Face Recognition. It describes the design and development of a cutting-edge system intended to provide users with a safe and customized interaction. Incorporating a facial recognition authentication component enables the voice assistant to securely identify authorized users before granting access to the system to its comprehensive range of capabilities. This supplementary layer of biometric security ensures that only the rightful user can interact with the system, thereby enhancing security by preventing unauthorized access. Upon successful authentication through facial recognition, the voice assistant will activate a wake-word detection mechanism, facilitating seamless voice-based interaction. This hands-free control feature will empower users to effortlessly access many functionalities beyond basic commands, including application launching, multimedia management, contact handling, web search, and even Chabot integration. The technical considerations for this article involve ensuring the accuracy and reliability of the facial recognition system, implementing secure data storage and access controls, and addressing any potential privacy concerns. These crucial elements will be addressed by the suggested voice assistant to provide a personalized and userfriendly experience that securely and effectively meets the changing needs of contemporary users.

Keywords:

Voice assistant system, Facial recognition, Machine learning, Hot-word detection, Web search, Application automation, and Chatbot.

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