Abstract :

The Rapid Advancement Of Artificial Intelligence (AI) And The Internet Of Things (IoT) Has Revolutionized The Healthcare Industry By Enabling Real-time Monitoring And Intelligent Analysis Of Patient Health Data. This Paper Explores The Integration Of AI With Wearable IoT Devices To Enhance Healthcare Systems, Emphasizing The Usage Of Sensors To Measure Vital Parameters Such As Oxygen Levels, Body Temperature, And Room Temperature. The Proposed System Utilizes An Arduino Microcontroller To Gather Data From Various Sensors, Including An Oxygen Level Detector, Body Temperature Sensor, And Room Temperature Sensor. This Information Is Displayed On An LCD Screen While Being Transmitted To The Cloud Via A NodeMCU Module For Remote Monitoring And Advanced Data Analysis. The Data Collected From The IoT Sensors Are Processed Using AI Algorithms To Provide Predictive Insights And Diagnostic Support, Enabling Healthcare Providers To Make Timely And Accurate Decisions. By Leveraging IoT For Real Time Data Collection And AI For Intelligent Analysis, This System Enhances Patient Care Through Continuous Monitoring, Early Disease Detection, And Personalized Healthcare Solutions. The Integration Of Cloud Connectivity Allows For Remote Access To Patient Data, Improving Accessibility And Reducing The Need For Frequent Hospital Visits. This Paper Demonstrates How The Combination Of AI And Wearable IoT Technology Can Significantly Improve Healthcare Outcomes, Paving The Way For Smarter, More Efficient Healthcare Systems. Keywords: Artificial Intelligence (AI), Internet Of Things (IoT), Wearable Devices, Healthcare Monitoring, Arduino, NodeMCU, Oxygen Level Sensor, Body Temperature Sensor, Room Temperature Sensor, Real-time Data Collection

Published:

09-7-2025

Issue:

Vol. 25 No. 7 (2025)

Page Nos:

1021-1026

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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