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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM47572

IoT-Enabled Smart Inhaler with GSM and Cloud-Based Health Monitoring System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM47572

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem47572

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

YA

YOKESH A

JV

JEBASTEEN V

BNS

BARATH N S

P.

PRABAKARAN .M

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Abstract

Asthma is a chronic respiratory condition that affects millions of individuals worldwide and often leads to serious health complications due to missed medication and exposure to environmental triggers. To address this issue, this paper presents the design and development of an IoT-based Smart Inhaler System aimed at improving medication adherence, monitoring environmental conditions, and enabling real-time alerts during critical situations. The system comprises a smart inhaler unit embedded with a usage detection sensor and a wearable smart band equipped with temperature, humidity, and gas sensors to detect potentially harmful surroundings. The collected data is transmitted to a cloud platform via Wi-Fi, while a GSM module provides emergency communication through SMS alerts. This comprehensive solution ensures proactive asthma care by integrating real-time monitoring, data logging, and timely intervention. The implementation demonstrates improved safety, reduced risks, and enhanced healthcare support for asthma patients through a cost-effective and intelligent system.

KEYWORDS

Asthma Smart Inhaler IoT Environmental Monitoring GSM ESP8266 Node MCU ThingSpeak MQTT Real-Time Alerting

Cite This Article

YOKESH A, JEBASTEEN V, BARATH N S, PRABAKARAN .M, "IoT-Enabled Smart Inhaler with GSM and Cloud-Based Health Monitoring System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/ijsrem47572

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Publication Date

5/11/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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

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