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A deep learning-based image classification model designed to detect real versus manipulated (DeepFake) faces in images. It combines MTCNN for face detection, InceptionResnetV1 fine-tuned on VGGFace2 for face recognition, and Grad-CAM for explainability, and it outputs confidence scores. An interactive Gradio interface enables testing with real-time predictions.
AI named DeepFake-Detection in January 2026.
