Smartphone Usage to Addiction-A Predictive Approach Using ML

Abstract

Smartphone addiction has become a growing concern in modern society, affecting individuals of all ages. Excessive use of smartphones leads to negative consequences in daily life such as reduced productivity, poor social interactions, and mental health issues such as anxiety and depression. The addiction of smartphone is a result of various activities including social media, gaming, instant messaging, and the constant need for digital validation. This article explores the mechanisms behind smartphone addiction, its impact on social behaviour, and the potential risks to physical health, including eye strain and sleep disturbances. Also, it discusses the role of app developers and social media companies in designing engaging, often addictive, interfaces that encourage extended usage. The prediction is done by using various models such as logistic regression, decision trees and support vector machines (SVM) to determine the most accurate method to be considered. The study concludes by emphasizing the need of a balanced approach for the usage of technology in a proper way, promoting healthier digital habits while responsibly exploiting the benefits of smartphones in a responsible manner.