AI Assistant For Disabled

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Ritesh Tiwari; Swapnil Sonawane; Mayur Hile; Premanshu Chaudhari; Akash Mendke

AI Assistant For Disabled

Authors: Ritesh Tiwari, Swapnil Sonawane, Mayur Hile, Premanshu Chaudhari, Akash Mendke

Unique Paper ID: 176064
Volume: 11
Issue: 11
PageNo: 5303-5307

Keywords: Accessibility Voice Assistant Assistive Technology Natural Language Processing (NLP) Speech Recognition Text-to- Speech (TTS) Human-Computer Interaction (HCI) Desktop Automation Web Navigation Voice-Enabled Computing

Abstract:
Individuals with physical disabilities, especially those with limited motor control, often encounter significant barriers when interacting with desktop systems due to their reliance on traditional input methods like keyboards and mice. These limitations hinder access to communication tools, essential digital services, and overall computer functionality. To overcome these challenges, this paper presents the design and development of a comprehensive voice assistant system tailored specifically for disabled users, enabling complete hands-free operation of desktop environments. The proposed system integrates advanced components including speech-to-text, text-to-speech, natural language processing using OpenAI GPT, and GUI automation via PyAutoGUI. Users can execute a wide range of tasks such as opening and closing ap- plications, browsing and reading websites, sending and reading emails, and composing WhatsApp messages—all through intuitive voice commands. The architecture also includes modules for web scraping, content summarization, and AI-guided navigation. Experimental results demonstrate high speech recognition accuracy (95%) and sub-2-second response times. User feedback highlights the system’s usability, accessibility improvements, and real-world applicability. This work not only enhances digital accessibility but also represents a step toward inclusive computing by empowering individuals with disabilities to independently engage with technology.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 11
PageNo: 5303-5307

AI Assistant For Disabled

Available:https://ijirt.org/article?manuscript=176064

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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