Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)

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Real Time AI Graded Platform for Debate Analysis Using CRAG and Wave2Vec2 Models

Authors
Keshav Tambre1, Aryan Ghadekar1, *, Omkar Ghantalwad1, Yash Gawande1, Kirti Genge1, Aditya Ghadge1, Arjun Gaware1
1Department of Engineering Sciences and Humanities (DESH), Vishwakarma Institute of Technology, Pune, 411037, India
*Corresponding author. Email: aryan.ghadekar242@vit.edu
Corresponding Author
Aryan Ghadekar
Available Online 6 January 2026.
DOI
10.2991/978-94-6463-948-3_62How to use a DOI?
Keywords
CRAG; emotion detection; deep learning; confidence detection; relevance; fact check
Abstract

The wide spread of misinformation on the web can present a danger to the credibility and quality of online discussion. The proposed work introduces an AI platform that offers real-time fact-checking in debates by using CRAG. The system uses cutting-edge natural language processing and corrective retrieval-augmented generation to examine assertions as they are uttered and send immediate feedback regarding their factual correctness and analyses the user based on various other parameters. The proposed system’s design is scalable for deployment and its adaptable modes of verification and debate analysis. Early tests confirm the proposed system’s efficiency in enabling correct information exchange and inducing critical thinking among users. By overcoming the weaknesses of conventional, the solution provides a practical and adaptable framework for enhancing trust and ensuring information integrity in online world.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
Series
Advances in Intelligent Systems Research
Publication Date
6 January 2026
ISBN
978-94-6463-948-3
ISSN
1951-6851
DOI
10.2991/978-94-6463-948-3_62How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Keshav Tambre
AU  - Aryan Ghadekar
AU  - Omkar Ghantalwad
AU  - Yash Gawande
AU  - Kirti Genge
AU  - Aditya Ghadge
AU  - Arjun Gaware
PY  - 2026
DA  - 2026/01/06
TI  - Real Time AI Graded Platform for Debate Analysis Using CRAG and Wave2Vec2 Models
BT  - Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
PB  - Atlantis Press
SP  - 903
EP  - 914
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-948-3_62
DO  - 10.2991/978-94-6463-948-3_62
ID  - Tambre2026
ER  -