이미지의 AI 생성 여부를 분류하는 서비스

✦ Real-Time AI-Powered Deepfake Detection System ✦ Detect Manipulated Images, Videos & Cloned Voices — Powered by Deep Learning

💡 Custom PyTorch CNN achieving 96.34% accuracy detecting AI-generated images vs real photography using CIFAKE dataset. Includes live Flask web app for predictions.

A Convolutional Neural Network trained to discriminate between AI-generated and real images.

The Image Authenticity Detector is a machine learning project designed to classify images as either real or AI-generated using a Generative Adversarial Network (GAN)

Sapienza University of Rome - Fundamentals of Data Science 2024/25/1 - Final Project

Image classification project using ResNet101 to distinguish real and AI-generated images on the CIFAKE dataset.

Detects AI-generated vs real images using a multi-domain deep learning approach — combining RGB, gradient (Sobel), and FFT features with a ResNet18 backbone. Achieves 95.05% accuracy on the CIFAKE dataset. Includes Grad-CAM explainability visualizations.