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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
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<title>A Cloud Based Video Conferencing Application Using OpenVidu</title>
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<div class="column has-text-centered">
<h1 class="title is-1 publication-title">A Cloud Based Video Conferencing Application Using OpenVidu</h1>
<div class="is-size-5 publication-authors">
<!-- Paper authors -->
<span class="author-block">
<a href="https://nrdyava.com/" target="_blank">Naveen Reddy Dyava</a><sup>*</sup>,</span>
<span class="author-block">
<a href="https://github.com/0-5-blood-prince" target="_blank">Mooizz Abdul</a><sup>*</sup>,</span>
<span class="author-block">
<a href="https://github.com/AbhilashGanga" target="_blank">Abhilash Ganga</a><sup>*</sup>,</span>
</span>
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<span class="author-block">Columbia University<br>Final Project of the Cloud Computing & Big Data Course</span>
<span class="eql-cntrb"><small><br><sup>*</sup>Indicates Equal Contribution</small></span>
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class="external-link button is-normal is-rounded is-dark">
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<span>Report</span>
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<a href="https://github.com/nrdyava/cloud-based-video-conferencing-application-using-openvidu" target="_blank"
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System Architecture Diagram
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<h2 class="title is-3">Abstract</h2>
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<p>
This project introduces a video conferencing application developed on AWS Cloud, utilizing <a href="https://docs.openvidu.io/en/stable/reference-docs/REST-API/" target="_blank">OpenVidu</a> library—a technology stack facilitating seamless video call integration into applications. The application, built on top of OpenVidu, accommodates up to four participants, featuring login and registration, session recordings, screen sharing, chat functionality, and postcall meeting analysis. The post-call analysis includes user engagement tracking, attendance monitoring, and the host’s capability to share meeting data. Notably, the application provides meeting transcripts in English and translations to Hindi, Chinese, Spanish, and German, fostering inclusivity. Leveraging ChatGPT API, the system conducts comprehensive analysis on transcripts, covering sentiment, topic modeling, speaker contributions, keyword extraction, named entity recognition, dialogue flow, diversity of opinions, key quotes identification, contextual analysis, and language complexity. This project showcases the synergy of AWS Cloud, OpenVidu, and advanced analytics in creating an efficient video conferencing platform. By integrating advanced analytics, it not only improves the collaborative experience but also extracts valuable insights from meetings, contributing to the evolution of virtual collaboration technologies
</p>
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<h2 class="title">Presentation Slides</h2>
<iframe src="Report_and_Slides/Presentation_Slides.pdf" width="100%" height="600">
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</section>
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<p>
This page was built using the <a href="https://github.com/eliahuhorwitz/Academic-project-page-template" target="_blank">Academic Project Page Template</a> which was adopted from the <a href="https://nerfies.github.io" target="_blank">Nerfies</a> project page.
You are free to borrow the of this website, we just ask that you link back to this page in the footer. <br> This website is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/" target="_blank">Creative
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