ISSN:2582-5208

www.irjmets.com

Paper Key : IRJ************263
Author: Akash Shanker ,Sherine Rose Ranasinghe,Deshan Madushanka,Panthila Goonarathne,Uditha Dharamakeeethi
Date Published: 01 Oct 2023
Abstract
In today's digitally interconnected world, the proliferation of manipulated media and the emergence of deepfake content have raised substantial concerns regarding the trustworthiness of visual information. Deepfakes, powered by advanced artificial intelligence algorithms, have the capacity to craft remarkably convincing counterfeit images and videos that challenge easy detection. This technology not only raises ethical dilemmas but also jeopardizes the credibility of digital content, posing a potential threat to public trust in online information. It has the potential to sustain disinformation campaigns, potentially creating seeds of social discord and eroding confidence in media sources. In response to this pressing challenge, we introduce "Verity Vision," a user-friendly web application equipped with innovative AI capabilities pointed at Manipulated fake images identification. Verity Vision functions as a vital tool in combating the dissemination of deceptive content and aims to restore trust in the authenticity of digital media. This innovative solution stands at the forefront of addressing this emerging risk, providing a practical and accessible means to safeguard the integrity of visual information in our interconnected digital landscape.
Paper File to download :