Study and Analysis of Mobile Phone Addiction in the Context of Artificial Intelligence

Smartphone addiction has become a major chal-lenge in modern digital society, affecting mental health, productivity, academic performance, and social well-be-ing. Existing solutions provide limited monitoring capa-bilities and often fail to motivate users toward long-term behavioral improvement. This research paper presented an AI-based Mo-bile Phone Addiction Monitoring and Digital Detox Sys-tem capable of analyzing smartphone usage behavior, classifying applications, detecting addiction patterns, and providing personalized intervention mechanisms. The integration of Artificial Intelligence, Ma-chine Learning, gamification, and productivity manage-ment creates an intelligent digital wellness ecosystem that encourages healthier smartphone usage habits. The pro-posed system not only improves user awareness but also promotes behavioral transformation through rewards, alerts, and personalized recommendations. Experimental analysis indicates that AI-driven behavioral intervention systems can significantly reduce excessive smartphone usage and enhance productivity. The research contributes toward the development of intel-ligent digital well-being platforms capable of addressing modern smartphone addiction challenges.

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