Safe Browsing for Kids Under Parental Supervision Using Machine Learning

Pilli Suneetha, Vaartha Sai Sruthi, Vemula Ghnana Sri Sai Lakshmi, Sirigiri Malavika, Koyye Vijaya

2025

Abstract

The internet has become a vital resource for children's education and pleasure due to the quick digitization of modern life. They are, nevertheless, exposed to potentially damaging materials, such as offensive, violent, or graphic material. In order to establish a kid-friendly online environment under parental supervision, this project presents Safe Browsing for Kids, a comprehensive solution that combines Machine Learning (ML) and Deep Learning (DL) approaches. The system uses cutting-edge techniques such as Support Vector Machines (SVM) for website classification, Convolutional Neural Networks (CNN) for picture filtering, and Natural Language Processing (NLP) for textual content analysis. The system is further adjusted to changing browsing behaviours via a dynamic Reinforcement Learning (RL) method. The first steps in the process include gathering browsing data (URLs, metadata, and images), preprocessing it, and applying ML/DL models to categorize content into safe or risky groups. Through an intuitive dashboard, a real-time monitoring system not only filters harmful websites but also gives parents notifications and comprehensive surfing reports. The findings show that hazardous content may be filtered with high accuracy, limiting exposure to unsuitable content while protecting kids' online experiences. Additionally, over time, adaptive learning improves the accuracy of the system. This project effectively establishes a digital environment for kids that is trust-based, safe, and educational. It gives parents cutting-edge tools to safeguard their children online by striking a balance between privacy and supervision. To sum up, the system guarantees a safer online experience, encouraging responsible online behavior while tackling the ever-changing issues of web safety in the contemporary period.

Paper Citation

in Harvard Style

Suneetha P., Sruthi V., Lakshmi V., Malavika S. and Vijaya K. (2025). Safe Browsing for Kids Under Parental Supervision Using Machine Learning. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 149-160. DOI: 10.5220/0013924300004919

in Bibtex Style

@conference{icrdicct`2525,
author={Pilli Suneetha and Vaartha Sruthi and Vemula Lakshmi and Sirigiri Malavika and Koyye Vijaya},
title={Safe Browsing for Kids Under Parental Supervision Using Machine Learning},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={149-160},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013924300004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Safe Browsing for Kids Under Parental Supervision Using Machine Learning
SN - 978-989-758-777-1
AU - Suneetha P.
AU - Sruthi V.
AU - Lakshmi V.
AU - Malavika S.
AU - Vijaya K.
PY - 2025
SP - 149
EP - 160
DO - 10.5220/0013924300004919
PB - SciTePress