Work

Automatic Detection of Cyberbullying using Machine Learning

Year: 2025

Type: article

Abstract: 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.

Source: International Journal for Research in Applied Science and Engineering Technology

DOI: 10.22214/ijraset.2025.68277

Author: Prof. Manali Patil

Language: English

Topic: Hate Speech and Cyberbullying Detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4409292582

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