DETECTION OF AI GENERATED IMAGES USING DEEP LEARNING

This Gradio app detects fake images using a fine-tuned InceptionResnetV1 model with VGGFace2 weights. It employs MTCNN for face detection and extraction, resizing the face for model compatibility. Grad-CAM provides explainability by highlighting face areas influencing predictions, overlaying a heatmap on the original image. The model outputs confidence scores for "real" or "fake" classifications. Results and visualizations are displayed in an interactive Gradio interface. Keywords- Deep fake Detection ,Convolutional Neural Networks (CNNs),Generative Adversarial Networks(GANs), Image Forensics, Anomaly Detection, Artifact Detection, Feature Extraction, Visual Inconsistencies, Adversarial Robustness.