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@article{176064,
        author = {Ritesh Tiwari and Swapnil Sonawane and Mayur Hile and Premanshu Chaudhari and Akash Mendke},
        title = {AI Assistant For Disabled},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {5303-5307},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176064},
        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.},
        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},
        month = {April},
        }