FaceGuard: Unmasking Deepfakes with AI Insight

Overview

In a digital world where faces can be forged with frightening realism, FaceGuard stands as an AI sentinel against deception. Designed to detect face-swapped and altered media, the system uses deep learning to reveal the subtle cues that separate truth from illusion. Blending convolutional and Siamese neural networks, it examines facial structures, expressions, and landmark dynamics — all localized through YOLO detection — to identify even the most convincing fakes. Whether it’s an image or a video, FaceGuard keeps authenticity in focus.

Key Features

• Hybrid Neural Design: Merged CNN and Siamese architectures to learn deep visual patterns that distinguish real faces from forgeries.
• Intelligent Face Detection: Used YOLO for precise face localization across frames and varied lighting conditions.
• Landmark Intelligence: Tracked 48 facial landmarks to spot unnatural warping, blending, and micro-expression inconsistencies.