Automatic Detection of Cyberbullying using Machine Learning
Cyberbullying is one of the most recent evils of social media. With a boom in the usage of social media, the freedom of expression is being exploited. The program presents a multi-group chat application developed using Python sockets and a Tkinter-based graphical user interface (GUI). The application allows users to create and join chat rooms, send text messages, and share files within rooms. Additionally, an AI-based message filtering system is integrated to detect and hide messages containing bullying content using a pre-trained Linear SVC model. The system enhances real-time communication while ensuring a safe chat environment by preventing offensive or harmful conversations.
Authors
- P. Patil (ORCID: https://orcid.org/0000-0002-4073-1428)
Publication Details
- Journal
- International Journal for Research in Applied Science and Engineering Technology
- Published
- 2025-04-09
- DOI
- https://doi.org/10.22214/ijraset.2025.68277
- Primary Topic
- Hate Speech and Cyberbullying Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00