Year: 2025
Type: article
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: Raj Barot, Mahesh Panchal
Institution: Gujarat Technological University
Language: English
Subfield: Occupational Therapy
Field: Health Professions
Domain: Health Sciences
SDG: Reduced inequalities
Open Access status: diamond
OpenAlex ID: W4410360330