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April 17, 20260 citationsOpen Access

Voice Laptop Assistant for Handicapped

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DD.P.NarodeMSM. R. ShaikhJSJaiswar Sahil

Key Points

  • The project aims to provide a fully hands-free laptop control system for physically handicapped users through voice commands.
  • Developed using Python programming language.
  • Employed speech recognition to convert voice commands to text.
  • Used automation libraries like PyAutoGUI for executing commands.
  • Integrated pyttsx3 for voice feedback to users.
  • Achieved functionalities including application control and intelligent responses.
  • System demonstrates an average response time of less than 2 seconds.
  • Achieved a voice command accuracy rate of over 95%.
  • Significantly improves efficiency for handicapped individuals using digital technology.

Abstract

Voice Laptop Automation for Handicapped Users is an automation system that focuses on accessibility and aims to offer complete and consistent hands-free laptop control through voice commands. Contemporary computer systems are heavily dependent on keyboards and mice, which pose significant difficulties for physically handicapped individuals. The proposed project seeks to overcome these difficulties by allowing users to control a laptop completely via voice commands. The system is built using Python and incorporates highly advanced speech recognition, artificial intelligence, and automation. Voice commands are recorded using a microphone and translated into text using the Speech Recognition library, intelligently processed, and automated using automation libraries such as PyAutoGUI. The system also uses pyttsx3 to offer voice feedback to the user. The application supports functions such as application control, file handling, system commands, text processing, and intelligent AI-based responses using DeepSeek integration. With an average response time of less than 2 seconds and a voice command accuracy rate of over 95%, the system ensures efficient and effective performance. This project is a major milestone in the direction of accessible technology. By leveraging artificial intelligence and voice automation, it enables differently abled individuals to independently, efficiently, and effectively engage with digital technology.

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Cite This Study

D.P.Narode et al. (2026) studied this question.

synapsesocial.com/papers/69e1cfe05cdc762e9d858ec4https://doi.org/10.5281/zenodo.19591964
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