Volume 2 - Issue 2, March - April 2026

The advancement of artificial Intelligence and deep getting to know technology has considerably modified the way virtual media is created and shared across on-line systems. present day generative models are able to generating noticeably realistic photos, motion pictures, and audio that carefully resemble true content material, making it increasingly hard to distinguish among actual and manipulated media. whilst those technology guide creativity, automation, and virtual innovation, additionally they introduce critical challenges inclusive of incorrect information, identity manipulation, deepfake attacks, and digital fraud. As AI-generated content material will become more common, making sure the authenticity and reliability of digital media has become an crucial difficulty in today’s digital environment. the present examine specializes in the development of an AI reality Checker, an clever system designed to come across manipulated or AI-generated media content. The proposed system makes use of synthetic intelligence strategies and picture processing strategies to investigate visual patterns, structural inconsistencies, and hidden artifacts present in digital pictures. by using applying system mastering-based totally detection mechanisms, the gadget ambitions to pick out whether the given media content material is real or artificially generated. The implementation of this device demonstrates that AI-primarily based verification gear can efficiently support the detection of manipulated media and assist lessen the spread of deceptive statistics. The have a look at emphasizes the importance of growing reliable AI-pushed verification frameworks to protect virtual identities, beautify information credibility, and keep agree with in on line media platforms.

Sivalakshmi M, N Saranya, "A Transformer-Based Framework for Detecting AI-Generated Images and Videos for Digital Media Authentication" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(2): Page(252-255) Mar-Apr 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.