Toxic Comment Detection and Classifier

Abstract: With the help of a machine learning (ML) model for toxic remark identification, this project presents a locally hosted social media platform that looks like Facebook or Instagram. An active online community is fostered by users' ability to create accounts, publish information, and participate in discussions. By utilizing cutting-edge machine learning algorithms, the platform can identify and eliminate harmful remarks on its own, creating a polite and secure place for users to engage. Proactive moderating is made possible via an email notification system that also instantly informs users of any offensive comments on their posts. With this study, we show how effective machine learning (ML) solutions can be at improving online safety and encouraging positive social media communication.

Keywords: Social Media, offending comment, Toxic Comment Detection, Positive social media communication