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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM52484

AI Powered Digital Detox and Parental Control App

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM52484

Volume:

9 |

9 |

Sep 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

BMA1

B Mohammed Asif 1

PSN2

Prof. Seema Nagaraj 2

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Abstract

This project focuses on building a digital wellbeing and parental control application aimed at helping users manage their screen time, monitor app usage, and encourage healthy digital habits. The system is designed as an Android application that enables both parents and children to engage with its features. Parents can track their child’s device activity, set usage limits, and view AI-generated insights, while children are guided towards mindful usage through digital detox tools such as focus mode, app blocking, and excess usage alerts. Firebase services, including Firestore and Authentication, form the backbone of data management and secure access. The app’s modular design makes it easy to expand with future enhancements such as anomaly detection in app usage, AI-powered wellness scores, predictive lock recommendations, and emotion-aware notifications. By combining user monitoring with AI-driven recommendations, the application ensures consistency, reliability, and accessibility across devices. The goal is to create a scalable and privacy-friendly solution that not only manages device usage but also promotes long-term digital wellness, making it suitable for families and individuals seeking balance in today’s screen-driven world.

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Cite This Article

B Mohammed Asif 1, Prof. Seema Nagaraj 2, "AI Powered Digital Detox and Parental Control App," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 9, Sep 2025.

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6/8/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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