Abed, FidaaAlagha, MawaddahSharab, Leen2025-09-242025-09-242025-06-26https://repository.effatuniversity.edu.sa/handle/20.500.14131/2237Image Manipulation Detection System The rapid advancement of AI technologies has brought about a new era of dig- ital creativity, enabling the creation and manipulation of images. However, this progress also presents a double-edged sword as it opens avenues for misuse, particu- larly in the fabrication of digital imagery for malicious purposes. The development of effective image manipulation detection systems is crucial in safeguarding against the growing problem of digital image fraud. This project aims to develop a sophis- ticated image manipulation detection system, designed for integration into both a web application and a Chrome extension. The tool will be an essential weapon in the fight against the spread of misleading visual content, providing users with a reliable way to verify the authenticity of images they encounter online. We will employ an advanced algorithm and train a machine learning model to distinguish between authentic and manipulated images. The application will include a feature for users to upload images, after which the system will analyze and determine the authenticity of the submitted image. The results, indicating whether the image is genuine or altered, will then be displayed to the user.enTECHNOLOGYCapstone