Veriface AI: A Deep Learning-Based Approach to Deepfake Detection for Image Authenticity Validation
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Veriface AI: A Deep Learning-Based Approach to Deepfake Detection for Image Authenticity Validation
V.Dinesh Kumar
dept of Artificial Intelligence & Data Science
KoneruLakshmaiah EducationFoundation Vaddeswaram,India 2100080175ai.ds@gmail.com
A.kalam
dept of Artificial Intelligence & Data Science
KoneruLakshmaiah EducationFoundation Vaddeswaram,India 2100080176ai.ds@gmail.com
K.Kishore Kumar
dept of Artificial Intelligence & Data Science
Koneru Lakshmaiah Education Foundation Vaddeswaram,India 2100080178ai.ds@gmail.com
Abstract— This paper presents VeriFace AI, a deep
learning-based system for detecting AI- generated
fake faces. Leveraging a convolutional neural network
(CNN) architecture trained on 1,400 images, the system
achieves an accuracy of 83.2%. It addresses the
growing concern of deepfake technology and its
potential impact on digital media authenticity. We
highlight the system's deployment as a web- based tool
for real-time image analysis, aiming to mitigate the
challenges posed by deepfake proliferation.
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