AI-Powered Content Moderation: A Secure Approach to Digital Communication

Abstract - Safeguarding the digital world from the use of technology itself has become one of the most major stark challenges for the users. AI-enabled content moderation is typically achieved through the use of Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP) in detection and filtration of inappropriate contents from textual messages as well as images. It is on the application of AMR-CNN for the detection of text-based toxic contents and Faster R-CNN for image-based violent content detection that this discussion revolves around. Built on top of a social platform by Flutter and Firebase, the system enables real-time message and post moderation. The research describes CNN-based image analysis, NLP based text classification, and highly efficacy in establishing safer digital interactions.