Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{155828,
        author = {Tejas Mandre and Shreyas Vaidya and Mehul Chaudhari and Jyoti Malhotra},
        title = {Defend against abuse on popular social media platforms using machine learning based chrome extension - Rakshak},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {2},
        pages = {89-94},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155828},
        abstract = {With the evolution of technology, Internet has become one of widely used medium of communication. This mainly propagates through social media sites like Instagram, Facebook, etc. and forums like Reddit, Discord, etc. Pandemic has made      a significant contribution to this given the increase in “work from home/remote” culture. With increasing convenience comes increasing levels of insecurity people face while using these mediums. Monitoring and detecting online conversations between people are very tough given millions of messages, comments being transmitted every second. Rakshak is a chrome extension being built to solve this problem using machine learning. It protects users from reading hate comments, abuses against them thereby maintaining their self-system and having proper contacts to authorities to prevent online harassment.},
        keywords = {Machine Learning, Chrome Extension, DevOps, REST API},
        month = {},
        }