EfficientNet+MTCNN deepfake detection achieving 87% accuracy with 12.96% EER - Multi-modal video forensics for misinformation prevention
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Updated
Nov 9, 2025 - Python
EfficientNet+MTCNN deepfake detection achieving 87% accuracy with 12.96% EER - Multi-modal video forensics for misinformation prevention
🤖 AI-powered face authenticity detection using Deep Learning. Detect AI-generated faces (GAN, Stable Diffusion, Midjourney) with ~95% accuracy using MobileNetV2 + Transfer Learning. REST API with FastAPI.
About Advanced AI-Generated Image Detection System using EfficientNetB7 with Custom Attention Mechanism. Developed for AICS 2025 (33rd Irish Conference on Artificial Intelligence and Cognitive Science). Detects deepfakes from GANs, Diffusion Models, and other generative AI.
VeriScan: Comprehensive Cyber Security tool for image-based malware detection, sanitation, and authentication. Features neural CNN-GAN detection, SRNet steganalysis (ALASKA-1), and forensic authentication (ELA, Copy-Move, Noise Variance).
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