Fake Image Detection Using Machine Learning
author, Mr. Anil Kumar K N · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · 2025
Abstract — Design and implement a deepfake detection system capable of distinguishing authentic images from deepfake images that involve facial manipulation. This system should identify manipulated faces, thereby mitigating the harmful effects of deepfake technology. With the rapid advancement of image editing tools and generative technologies like deepfakes, the spread of manipulated or fake images has become a serious concern in areas ranging from social media to national security. Traditional methods of image verification are often inadequate due to the sophistication of modern forgeries.