Creating an Integrated Browser Plug-in for Detecting and Blocking Obscene Image/Text Content
Sudeepta Deep, Sahil Singh, Shubham Yadav, Yash Shedge, Anindita Khade · 2024
The rise of user-generated content has changed the nature of online relationships by creating a hostile online community and more offensive content, which have an adverse impact on constructive discussion and mental health. To address this, the Image/Text Obscenity Blocker, available as a browser plugin, employs advanced algorithms, deep learning, and neural networks to automatically detect and filter out offensive content, fostering a more respectful online community. The blocker utilizes natural language processing and machine learning models to identify and remove explicit content, prioritizing user safety and transparency by informing users of prohibited content and moderation measures. By establishing a kid-friendly internet zone and implementing filters, the Obscenity Blocker aims to provide a safer online environment for users of all ages. This development marks a significant step in combating explicit online content through cutting-edge technology and comprehensive filtering methods.