Darren Huang1 and Yu Sun2, 1USA, 2Computer Science Department, California State Polytechnic University, USA
In this project, we propose a solution to the problem of children's exposure to harmful content on their mobile devices [5]. Our solution involves an application that monitors the content that children view on their devices and alerts parents or guardians if any potentially harmful content is detected. The application utilizes natural language processing and machine learning technologies to analyze the content of messages and images [6][7]. We faced several challenges during the development of our application, including ensuring that the application remained easy to use while providing accurate analysis of the content. We also had to ensure that the application could run smoothly on a variety of mobile devices with different operating systems [13]. To test our application, we conducted experiments in various scenarios, such as monitoring children's device usage during playtime, study time, and bedtime. Our results showed that our application was highly effective in detecting potentially harmful content, and it was well-received by parents who tested it. Our idea is ultimately something that people should use because it provides an additional layer of protection for children against harmful content. With the increasing prevalence of mobile devices in children's lives, there is a growing need for solutions that help parents monitor and regulate their children's device usage. Our application provides an easy-to-use and effective solution to this problem.
Parental Control, Management, Artificial Intelligence, Computer Vision
