AI-driven IOT-based Smart Healthcare Monitoring System for Real-time and Predictive Analysis

Author(s)	Prof. Padmasree K B, Mr. Thanush Priyan R, Mr. Vijayagokulakrishnan S, Ms. Swathi K
Country	India
Abstract	an ai-powered iot-based smart healthcare monitoring system for continuous monitoring of patients and predictive analysis is presented in this research. the system gathers and processes physiological properties including body temperature, heart rate, and spo₂ by integrating wearable biomedical sensors, an esp32 microcontroller, and cloud computing. the mqtt protocol is employed to transfer data, and long short-term memory (lstm) and artificial neural network (ann) models are utilized for anomaly detection and risk prediction. low-latency response and increased system efficiency are made possible by edge-level preprocessing. real-time notifications are created and communicated to caregivers when abnormal situations occur. the results of the experiment show precise sensing, reliable communication, and efficient anomaly detection. the proposed technique improves patient safety and early diagnosis by providing a scalable and cost-effective remote healthcare monitoring solution
Keywords	artificial intelligence, wearable sensors, cloud computing, remote monitoring, esp32, lstm, mqtt, iot-based healthcare, anomaly detection.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-03-27
DOI	https://doi.org/10.36948/ijfmr.2026.v08i02.72715

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International Journal For Multidisciplinary Research