Obscenity blocker Solution

Deepthi B; Ankitha T O; Chaya D; Deeptiman

Obscenity blocker Solution

April 2024

Vol-10, Issue-2

Paper ID: 23346

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Engineering

Keywords

Obscene media detection Content moderation Deep learning Ensemble learning Web scraping Data augmentation Browser extension Image classification Video classification Digital content filtering

Abstract

The internet is an ever-expanding landscape filled with diverse content ranging from informative to entertaining. However, amidst this vast array of information, there exists a darker side - obscene media. This includes adult images, videos, and other explicit content that can have harmful effects on users, especially children and adolescents. The accessibility of such content poses serious risks, including desensitization, mental health issues, and adverse impacts on social behavior. Consequently, there is an urgent need for effective solutions to detect and mitigate the spread of obscene media in web browsers, safeguarding users from exposure to harmful content. To address the pressing issue of obscene media, this research proposes an innovative ensemble learning approach tailored specifically for web browsers. Ensemble learning, a powerful technique in machine learning, involves combining the predictions of multiple models to improve overall performance. By leveraging ensemble learning, we aim to enhance the accuracy and reliability of obscene media detection, thereby providing users with a more robust defense against harmful content. This approach represents a significant advancement in the field, offering a comprehensive solution to a complex and pervasive problem plaguing the online ecosystem.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Deepthi B	AMC Engineering College
2	Ankitha T O	AMC Engineering College
3	Chaya D	AMC Engineering College
4	Deeptiman	AMC Engineering College

How to Cite

Use the following formats to cite this article in your research.

APA Style

B, Deepthi, O, Ankitha T, D, Chaya, & Deeptiman (2024). Obscenity blocker Solution. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 4064-4069.

MLA Style

B, Deepthi, et al. "Obscenity blocker Solution." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 4064-4069.

IEEE Style

Deepthi B, Ankitha T O, Chaya D, and Deeptiman, "Obscenity blocker Solution," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 4064-4069, 2024.

Vancouver Style

B Deepthi, O Ankitha T, D Chaya, Deeptiman. Obscenity blocker Solution. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):4064-4069.

Harvard Style

B, Deepthi, O, Ankitha T, D, Chaya, & Deeptiman (2024) 'Obscenity blocker Solution', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 4064-4069.

Chicago Style

B, Deepthi, et al. "Obscenity blocker Solution." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 4064-4069.

Turabian Style

B, Deepthi, et al. "Obscenity blocker Solution." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 4064-4069.