Toxic Comments Detection and Classifier

Abstract

This project proposes a novel approach to detecting and managing toxic comments online. It detects harmful content effectively using a smart machine learning system. Users play an important role by providing an easy reporting system and quick actions to hide or block toxic comments. The platform is intended to empower users by providing customizable filters, an education hub, and a reward system that encourages positive online behaviour. Transparency is a top priority, with users receiving detailed moderation histories and real-time alerts. Additional features, such as content dispute resolution, inclusive language suggestions, and collaborative moderation tools, aim to make the online environment safer, more inclusive, and enjoyable. This project also looks into user-friendly admin tools, personalized content filters, and even blockchain for transparency. And also, by keeping things simple and effective, our machine learning-focused approach aims to redefine content moderation, creating a safe, collaborative, and enjoyable online environment.