FORGERYLENS: Unmarking Image and Video Forgeries

FORGERYLENS: Unmarking Image and video forgeries” In today’s digital world, seeing is no longer believing. With the rapid advancement of AI and editing tools, it’s easier than ever to manipulate images and videos, spreading misinformation, eroding trust, and even rewriting reality. FORGERYLENS is a powerful step forward in the fight against digital deception. This project aims to uncover the hidden fingerprints of tampering in both photos and videos, offering a way to detect and expose forgeries that often go unnoticed by the human eye. Rather than just spotting obvious edits, FORGERYLENS dives deep analyzing subtle inconsistencies, unnatural lighting, digital noise patterns, and other clues left behind during manipulation. Whether it’s a deep-fake video or a subtly altered image, the system is designed to peel back the layers and reveal the truth beneath. Our approach combines advanced machine learning with a user-friendly lens—bringing forensic-level analysis into the hands of journalists, researchers, and everyday people who simply want to know what’s real. In a time where digital trust is under siege, FORGERYLENS offers clarity, accountability, and the hope of restoring confidence in the visuals we see every day.