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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM.NCFT047

Smart Healthcare Monitoring System Using Mobile App, Data Collection using cloud storage, and building a dashboard for Real-Time Health Analytics and Reporting

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10.55041/IJSREM.NCFT047

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Monthly (12 issues per year)

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10.55041/IJSREM.NCFT047

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

PJ

Poreddy Jayaraju

ARG

Akshith Reddy Gutha

RRA

Ramakrishna Reddy Alugubelly

GK

Gongu Kavyasri

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Abstract

The rapid advancement in IoT and cloud computing has revolutionized healthcare monitoring systems. This project proposes a Smart Healthcare Monitoring System that integrates a mobile app (Android-based), cloud storage (Thing Speak), and a real-time analytics dashboard (Power BI) for continuous health tracking. The system collects vital health parameters such as body temperature (LM35 sensor) and heart rate (pulse sensor) via an ESP8266-based IoT module, transmits data to the cloud, and visualizes it for medical professionals and patients. The Android app (developed in Java/Android Studio) enables users to monitor real-time health metrics, while Thing Speak ensures secure cloud-based data storage. Power BI generates interactive reports for predictive analytics, and SQLite manages local data efficiently. RESTful APIs facilitate seamless communication between devices and the cloud. This system enhances remote patient monitoring, reduces hospital visits, and provides timely medical interventions, improving healthcare accessibility and efficiency.

KEYWORDS

IoT-based Health Monitoring Cloud Computing in Healthcare Real-time Health Analytics Remote Patient Monitoring

Cite This Article

Poreddy Jayaraju, Akshith Reddy Gutha, Ramakrishna Reddy Alugubelly, Gongu Kavyasri, "Smart Healthcare Monitoring System Using Mobile App, Data Collection using cloud storage, and building a dashboard for Real-Time Health Analytics and Reporting," International Journal of Scientific Research in Engineering and Management, Jun 2025. https://doi.org/10.55041/IJSREM.NCFT047

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Publication Date

6/17/2025

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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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