Predictive Health Monitoring for Proactive Public Safety and Management

May 2025
Vol-11, Issue-3
Paper ID: 26712
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Electronics and Communication Engineering
Keywords
IoT Health Monitoring Wearable Device ESP8266 SpO₂ Logistic Regression Emergency Alerts WhatsApp API
Abstract
This study introduces a cost-effective wearable system designed to monitor vital health indicators in real time using Internet of Things (IoT) and Machine Learning (ML) technologies. The proposed solution consists of a smart wristband equipped with biomedical sensors—such as MAX30100 for monitoring heart rate and SpO₂, DS18B20 for temperature tracking, MQ-135 for detecting CO₂, and an accelerometer for identifying falls. These sensors are connected to a NodeMCU ESP8266 microcontroller, which transmits data wirelessly to a cloud-based dashboard. A Logistic Regression model is employed to classify critical health events based on the sensor data. When an abnormal condition is detected, the system immediately sends a WhatsApp alert along with the user’s location. This approach offers an accessible, continuous health monitoring solution that enhances emergency responsiveness, especially for vulnerable individuals such as the elderly or those in remote areas.

Author Information

# Name Institute / Affiliation
1 ROOPA G D S J M INSTITUTE OF TECHNOLOGY
2 PALLAVI S A S J M INSTITUTE OF TECHNOLOGY
3 NIKHITHA P H S J M INSTITUTE OF TECHNOLOGY
4 SNEHA M S J M INSTITUTE OF TECHNOLOGY
5 TANUJA T S J M INSTITUTE OF TECHNOLOGY

How to Cite

Use the following formats to cite this article in your research.

APA Style
D, ROOPA G, A, PALLAVI S, H, NIKHITHA P, M, SNEHA, & T, TANUJA (2025). Predictive Health Monitoring for Proactive Public Safety and Management. International Journal of Advance Research and Innovative Ideas In Education, 11(3), 2016-2021.
MLA Style
D, ROOPA G, et al. "Predictive Health Monitoring for Proactive Public Safety and Management." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 3, 2025, pp. 2016-2021.
IEEE Style
ROOPA G D, PALLAVI S A, NIKHITHA P H, SNEHA M, and TANUJA T, "Predictive Health Monitoring for Proactive Public Safety and Management," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 3, pp. 2016-2021, 2025.
Vancouver Style
D ROOPA G, A PALLAVI S, H NIKHITHA P, M SNEHA, T TANUJA. Predictive Health Monitoring for Proactive Public Safety and Management. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(3):2016-2021.
Harvard Style
D, ROOPA G, A, PALLAVI S, H, NIKHITHA P, M, SNEHA, & T, TANUJA (2025) 'Predictive Health Monitoring for Proactive Public Safety and Management', International Journal of Advance Research and Innovative Ideas In Education, 11(3), pp. 2016-2021.
Chicago Style
D, ROOPA G, et al. "Predictive Health Monitoring for Proactive Public Safety and Management." International Journal of Advance Research and Innovative Ideas In Education 11, no. 3 (2025): 2016-2021.
Turabian Style
D, ROOPA G, et al. "Predictive Health Monitoring for Proactive Public Safety and Management." International Journal of Advance Research and Innovative Ideas In Education 11, no. 3 (2025): 2016-2021.

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