AI Based Content Controlling System using Age Prediction Algorithm and Selenium Tool

Abstract

Abstract: The internet provides a platform to distribute a vast amount of content to millions of users worldwide. However, the true issue is when users under the age of 18 are denied access to age-restricted content, which over time has a negative impact on the user's physical and mental health. Children are spending more amount of time in surfing the browser and they easily come across all types of content in internet. On the other hand, creating a plan for computing imaginative complexity would ensure children's safety in social networks, which is unmatched among the most important criteria in today's society. This technique will only be used to regulate the website's content. In this proposed work, face detection has been carried out for detecting the age using a Haas cascade classifier and content restriction based on age done by selenium. In general, two sophisticated techniques, such as age estimation and facial recognition, are needed to limit internet access to specified age groups. Then, for a content management system, this proposed work has suggested a new unified framework for face recognition and age detection. This proposed work has developed a system that accurately controls the browser content by combining age recognition and content restriction. In order to regulate the website, selenium is applied after detecting the person’s face and estimating their age.