Paper Title

INTELLIGENT CHILD SAFETY SYSTEM USING MACHINE LEARNING IN IoT DEVICES

Article Identifiers

Registration ID: IJNRD_192117

Published ID: IJNRD2304468

DOI: Click Here to Get

Authors

E. PRABHAKAR , Jajala Naveena , Gottupelli Vahinitha , Govindu Sai Teja

Keywords

Child safety, GPS, GSM, sensors, Arduino, Raspberry-Pi, decision tree classifier, autonomous decision, and intelligent child safety system employing machine learning in IoT devices.

Abstract

Due of their vulnerability, tracking and protecting children is of highest importance. A sophisticated smart security system is now required due to the rise in crimes including child abduction, child trafficking, child abuse, and so forth. In order to help parents, watch and track their children in real time instead of having to constantly be nearby, a self-alerting "INTELLIGENT CHILD SAFETY SYSTEM USING MACHINE LEARNING IN IOT DEVICES" was developed. This system is meant to be worn by the child as a wrist band, hand glove, arm band, or belt on a daily basis. The technology is made to watch over children's whereabouts and physical health in real time. An Arduino controller, a Raspberry Pi, and sensors that track changes in parameters like temperature, BVP (blood volume pulse), and GSR (galvanic skin response) are all included in this electronic system. GPS and GSM modules are also utilized by the system. The Decision Tree Classifier algorithm uses sensor value inputs to identify any distress scenario. A text message containing the victim's location is sent to the registered contact numbers using a GSM module and tracked using a GPS module. The innovative aspect of this work is the greater precision of the autonomous decision-making process.

How To Cite (APA)

E. PRABHAKAR, Jajala Naveena, Gottupelli Vahinitha, & Govindu Sai Teja (April-2023). INTELLIGENT CHILD SAFETY SYSTEM USING MACHINE LEARNING IN IoT DEVICES . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), e491-e496. https://ijnrd.org/papers/IJNRD2304468.pdf

Issue

Volume 8 Issue 4, April-2023

Pages : e491-e496

Other Publication Details

Paper Reg. ID: IJNRD_192117

Published Paper Id: IJNRD2304468

Downloads: 000121979

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304468.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304468

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

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