SHAIFOL ZIQRI BIN ZAINURIN Universiti Sultan Zainal Abidin
The rapid growth of AI has made it easy to create highly realistic fake images, leading to rising cases of fraud, fake news, and tampered digital evidence. Because the naked eye can no longer tell the difference, this project propose an AI-Generated Photo Detector built specifically for forensic use. To improve detection, the model utilize 6-channel input: standard RGB colours plus three forensic features: Error Level Analysis (ELA), Fast Fourier Transform (FFT), and High-Pass Filtering (HPF) to expose hidden tampering marks. The system also features a user-friendly GUI allowing users to easily upload an image, verify its authenticity, and visually spot suspicious areas, ultimately helping to restore trust in digital media.