Smart Voice Assistant with Face Recognition

Abstract: Individuals with disabilities often struggle to navigate conventional digital environments due to physical, visual, or auditory limitations. This study introduces a desktop-based intelligent assistant that merges voice control with facial recognition to deliver an inclusive, user-friendly solution. By harnessing the capabilities of Artificial Intelligence (AI), Computer Vision, and Natural Language Processing (NLP), the system offers a flexible, multi-modal interface. Voice interaction assists visually impaired users, text-based communication supports those with hearing impairments, and facial recognition aids users with limited physical mobility. The proposed solution emphasizes offline functionality, security, and accessibility, aiming to empower users through improved digital interaction and increased independence.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-14
DOI
https://doi.org/10.22214/ijraset.2025.69170
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Voice Assistant with Face Recognition

Raj Barot, Mahesh Panchal
International Journal for Research in Applied Science and Engineering Technology
IoT-based Smart Home Systems
article

Smart Voice Assistant with Face Recognition

Raj Barot, Mahesh Panchal
article en

Abstract

Abstract: Individuals with disabilities often struggle to navigate conventional digital environments due to physical, visual, or auditory limitations. This study introduces a desktop-based intelligent assistant that merges voice control with facial recognition to deliver an inclusive, user-friendly solution. By harnessing the capabilities of Artificial Intelligence (AI), Computer Vision, and Natural Language Processing (NLP), the system offers a flexible, multi-modal interface. Voice interaction assists visually impaired users, text-based communication supports those with hearing impairments, and facial recognition aids users with limited physical mobility. The proposed solution emphasizes offline functionality, security, and accessibility, aiming to empower users through improved digital interaction and increased independence.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Openalex Percentile: Top 91%
IoT-based Smart Home Systems
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