Deepfake Shield: AI-Based Deepfake Detection System

Deep fake images are AI-generated or digitally manipulated visuals that alter human identity with high realism, resulting in risks such as misinformation, identity theft, fraud, and privacy violation. Manual verification of image authenticity is time-consuming and unreliable. This paper presents Deep fake Shield, an AI-based deep fake image detection system designed to classify images as real or fake using deep learning and image processing techniques. Input images undergo preprocessing for normalization and noise handling, followed by feature extraction using a convolutional neural network (CNN) model. The proposed system effectively identifies visual artifacts, pixel inconsistencies, and unnatural facial characteristics to detect deep fake images. The system aims to support cyber security, social media verification, and safe digital communication.