AI-Driven Framework For Real-Time Multilingual Communication And Task Automation In Professional Environments

Abstract

In modern professional communication, effective communication across multiple languages continues to be a barrier for collaborative decision-making in today’s global and digitally accessible workplace. To address this issue, we present LINZO, an AI-based intelligent framework that enables real-time multilingual communication across many professional meetings. The system uses advanced speech recognition, translation, and summarization techniques to provide live captions with translated dialogue and auto-generated meeting summaries. By applying these techniques within a single user-friendly interface, LINZO allows professional participants to communicate more easily while also improving accessibility for multilingual participants. The pilot study revealed improved translation accuracy, shortened communication delays in various settings, and a higher rate of participant "satisfaction" with the tool as compared to traditional or other tools. This paper demonstrated the benefits multilingual AI systems can have in educational, non-profit and private engagement in contemporary professional communication to encourage collaboration, equality, and efficiency across practitioners.

Ähnliche Arbeiten