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Multi-tenant Cloud SaaS Application for a meeting to task transition via deep learning models | IEEE Conference Publication | IEEE Xplore

Multi-tenant Cloud SaaS Application for a meeting to task transition via deep learning models


Abstract:

Thought digitalisation and the post pandemic period online meetings increase by 12.9% and number of attendees by 13.5%. According to Zoom, Google Meets, and MS Teams they...Show More

Abstract:

Thought digitalisation and the post pandemic period online meetings increase by 12.9% and number of attendees by 13.5%. According to Zoom, Google Meets, and MS Teams they collectively increased there amount of active users from March 2020 until june 2021 by 253%. Additionally virtual meetings are becoming inefficient, unproductive and unstructured, where results are not documented correctly. The intention is to shift those statistics by revolutionising the way online meeting are held. The paper outlines the technical requirements for a user-friendly web application that allows to reproduce a virtual meeting including agreements, its participants interactions and highlighting relevant sequences, is outlined. The developed AI meeting wizard autonomously documents the discussed content in the form of notes, to-dos tasks and integrates them directly into task management, mail or calendar tools. Reinforcing the focus on the discussion by increased interaction and productivity instead of task management and note taking.
Date of Conference: 18-21 December 2022
Date Added to IEEE Xplore: 25 January 2023
ISBN Information:
Conference Location: Alamein New City, Egypt

Funding Agency:


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