Abstract: The integration of voice recognition technology in digital whiteboards represents a significant advancement in interactive learning and collaborative environments. This research explores the development and implementation of a voice-integrated digital whiteboard system, designed to enhance user interaction, accessibility, and overall usability. Traditional digital whiteboards, while effective in many ways, often require manual operation, which can be limiting for users with physical disabilities or those seeking more seamless interaction.

Our proposed system leverages cutting-edge voice recognition technology to allow users to perform a variety of actions through simple voice commands, such as drawing, erasing, and navigating through the whiteboard. This paper details the design and implementation process, including system architecture, user interface design, and integration of voice commands. The system was developed using React.js for the front- end and Python for backend processing, incorporating voice recognition libraries to facilitate the voice command functionality.

Comprehensive testing was conducted to evaluate the system's performance, usability, and accuracy of voice commands. Results indicate that the voice-integrated digital whiteboard significantly improves user experience and accessibility compared to traditional systems. The research concludes with a discussion of the implications of this technology in educational and professional settings, highlighting potential areas for future enhancement and research. This work demonstrates the potential of voice integration to transform interactive digital tools, making them more inclusive and efficient.

Keywords: Voice recognition technology, System architecture, User interface design, Voice commands, Usability

| DOI: 10.17148/IARJSET.2024.11761