Revenge Pornography Matching Using Computer Vision

This paper examines the use of artificial intelligence (AI), multiple detection techniques, and image analysis methodologies while understanding the various specifics that must be taken into account for greater accuracy in order to develop an end-to-end solution to combat the proliferation of revenge and illegal pornographic material. The Ministry of Home Affairs approved the “Cyber Crime Prevention against Women and Children (CCPWC)” program, which enables the public to file complaints about child pornography/child sexual abuse material, rape/gang rape images, or sexually explicit material. Hence the goal of the project is to speed up the process of helping any victim of online harassment by using AI-ML, computer vision automation, and research to identify the source of any unauthorized digital content.