Scalable System for Identifying and Flagging Misinformation Using AI/ML and DL
The fast spread of realistic fake media means we need to make a system to identify false information that can work with a lot of data.

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Journal of Artificial Intelligence Research & Advances [2395-6720(e)] is a peer-reviewed hybrid Journal launched in 2014 that investigates the role of artificial intelligence in this rapidly progressing and challenging environment. This journal provides a rich, multidisciplinary platform for current …
Journal of Artificial Intelligence Research Advances (JOAIRA): 2395-6720(e) is a peer-reviewed hybrid open-access journal launched in 2014 that investigates the role of
joaira maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Prof. Gunasekaran Gurusamy, Professor, Dean—Freshman Engineering
Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Tamil Nadu, India, 600062
Email :
The fast spread of realistic fake media means we need to make a system to identify false information that can work with a lot of data.
Recent developments in Artificial Intelligence (AI) and Machine Learning (ML) have led to the rise of deepfake technology, making it one of the most impactful innovations in the digital world.
The increasing competition in the job market has made effective interview performance a critical skill for students and professionals.
Artificial Intelligence has become one of the most innovative technologies to sweep across industries over recent years and recruitment is no exception.
The need for defense systems that are smarter, faster, and more adaptable has never been greater in an era when cyber threats are becoming increasingly intelligent and evasive.
A Large Language Model (LLM) is likely to produce sentences that are fluent and confident in many instances, but completely wrong.
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December 2025
March 15-17, 2025
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