Authors : Dr. S. Thaiyalnayaki; Kailash T.; K. V. Kishore; Khushi Rani; Kilari Bhavya

Volume/Issue : Volume 11 - 2026, Issue 5 - May

Google Scholar : https://tinyurl.com/yp5pu3ft

Scribd : https://tinyurl.com/th2tnu24

DOI : https://doi.org/10.38124/ijisrt/26May052

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Online meeting and collaboration tools have become vital for digital communication, but many existing platforms are limited to basic audio and video functional-ity and lack intelligent features that support accessibility and user engagement. To overcome these challenges, our proposed system introduces a real-time collaborative online meeting application that integrates AI-based chat assistance and live speech transcription, aiming to im-prove the efficiency, inclusiveness, and effectiveness of virtual meetings. The system is implemented using a React.js frontend and a Node.js backend with Express and Socket.IO to enable seamless real-time interactions. Firebase Authentication is used to provide secure access control, while Firestore serves as a cloud-based repository for storing chat conversations and meeting transcripts. Real-time audio and video communication is facilitated through WebRTC, with Socket.IO handling signaling be-tween participants. An intelligent chatbot powered by the Groq API offers contextual support during meetings, and a live transcription module utilizing the browser’s Web Speech API performs automatic speech recognition to convert spoken content into real-time text and store it with speaker identification. By combining real-time com-munication, cloud technologies, and applied artificial in-telligence, the system delivers a more interactive, accessi-ble, and productive virtual collaboration experience.

Keywords : WebRTC, AI-Powered Chatbot, Natural Lan-guage Processing (NLP), Speech-to Text Conversion, Auto-matic Speech Recognition (ASR), Quality of Service (QoS).

References :

1. A systematic review on WebRTC for potential applica-tions and challenges beyond audio video streaming — H. Mahmoud & R. Abozariba, Multimedia Tools & Applica-tions, Feb 2025. DOI: 10.1007/s11042-024-20448-9.
2. GK Shwetha, PS Shetty, SN Baliga, JKA Rathod, C Divya, "Transforming Education with Innovative Virtual Learning Environments", IEEE Conference Publication, Feb-ruary 2025, DOI: 10.1109/ICRASET63057.2024.10894905
3. Vuyisa Baza, Nomusa Dlodlo, Alfredo Terzoli, "Building a Peer-to-Peer Learning Platform for University Students Us-ing WebRTC and Mobile Technology", IEEE Conference Publication, April 2025, DOI:10.1109/ZCICT63770.2024.1095830.
4. Real Time Speech-to-Text on Edge: A Prototype System for Ultra-Low Latency Communication with AI-Powered NLP — S. di Leo, L. De Cicco, S. Mascolo; Information, 2025. DOI: 10.3390/info16080685.
5. S. Di Leo, L. De Cicco, and S. Mascolo, “Edge-Based Real-Time Speech Recognition for Low-Latency Collabora-tive Applications,” IEEE Transactions on Network and Ser-vice Management, vol. 21, no. 2, pp. 1345–1357, Apr. 2024, doi: 10.1109/TNSM.2024.3361028
6. H. Mahmoud and R. Abozariba, “Challenges and Oppor-tunities of WebRTC-Based Collaboration Platforms Beyond Video Conferencing,” IEEE MultiMedia, vol. 31, no. 1, pp. 64–73, Jan.–Mar. 2024, doi: 10.1109/MMUL.2024.3342197.
7. Javlon Tursunov, Gregor Rozinaj, Vivek Dwivedi, Ivan Minárik, "A Customizable WebRTC-based Video Conferenc-ing System For Real-time Communication", IEEE Confer-ence Publication, 19 August 2024, DOI: 10.1109/IWS- SIP62407.2024.10634026
8. WebRTC over 5G: A Study of Remote Collaboration QoS in Mobile Environment — Journal of Network and Systems Management, 2024 (article number). DOI available via Springer.
9. J. Park and K. Lee, “AI-Assisted Real-Time Collaboration Systems with Context-Aware Conversational Agents,” in Proc. IEEE Int. Conf. on Artificial Intelligence and Virtual Reality (AIVR), 2024, pp. 98–105, doi: 10.1109/AIVR60935.2024.00022.
10. L. De Cicco, S. Mascolo, and V. Palmisano, “Perfor-mance Analysis of WebRTC Signaling Using WebSockets and Socket.IO,” IEEE Communications Letters, vol. 27, no. 5, pp. 1290–1294, May 2023, doi: 10.1109/LCOMM.2023.3257782.
11. P. Singh and R. Kumar, “AI-Driven Chatbots for Real-Time Collaborative Applications: Design and Performance Evaluation,” IEEE Internet Computing, vol. 27, no. 2, pp. 45–53, Mar.–Apr. 2023, doi: 10.1109/MIC.2023.3241187.
12. Y. Zhang, X. Li, and H. Wang, “Real-Time Speech-to-Text Transcription Using Browser-Based Speech Recognition APIs,” in Proc. IEEE Int. Conf. on Web Intelligence (WI), Thessaloniki, Greece, 2023, pp. 212–219, doi: 10.1109/WI57407.2023.00041.
13. A. R. Khan and S. Mehta, “Cloud-Integrated Authentica-tion and Authorization for Real-Time Web Applications Us-ing JWT,” IEEE Access, vol. 11, pp. 45678–45690, 2023, doi: 10.1109/ACCESS.2023.3290041.
14. Safiqul Islam, Michael Welzl, Tobias Fladby, "Real-Life Implementation and Evaluation of Coupled Congestion Con-trol for WebRTC Media and Data Flows", IEEE Conference Publication,  September  2022,  DOI:  10.1109/AC- CESS.2022.3206041
15. S. Petrangeli, J. De Cock, and R. Van de Walle, “Design and Evaluation of Low-Latency WebRTC-Based Real-Time Communication Systems,” IEEE Access, vol. 10, pp. 112345–112358,     2022,      doi:         10.1109/AC-CESS.2022.3187465.
16. M. Al-Shabi, A. Al-Dweik, and M. Al-Masri, “Secure WebRTC Architecture for Real-Time Multimedia Collabora-tion Applications,” in Proc. IEEE Int. Conf. on Communica-tions (ICC), Seoul, South Korea, 2022, pp. 1–6, doi: 10.1109/ICC45855.2022.9838894.
17. Jovana Marašević, Ana Gavrovska, "Virtual Reality and WebRTC implementation for Web educational application de-velopment", IEEE Conference Publication, January 2021, DOI: 10.1109/TELFOR51502.2020.9306513
18. Julius Flohr, Erwin P. Rathgeb, "Reducing End-to-End Delays in WebRTC using the FSE-NAlgorithm for SCReAM Congestion Control", IEEE Conference Publication, March 2021, DOI: 10.1109/CCNC49032.2021.9369574
19. Soft Real-Time Communication with WebSocket and WebRTC Protocols Performance Analysis for Web-based Control Loops — IEEE Conference Publication (via IEEE Xplore) DOI: 10.1109/8864680.