International Journal of Emerging Research in Science, Engineering, and Management
Vol. 2, Issue 1, pp. 196-202, January 2026.
This work is licensed under a Creative Commons Attribution 4.0 International License.
M. Manivannan
Yakasiri Jahnavi
A Jyoshna
Veeramreddy Sushma
G Uday Kiran
C Dhanush
Department of CSE, Siddartha Institute of Science and Technology, Puttur, India.
Abstract: The IoT-Enabled Smart E-Healthcare System with Predictive Prescription Algorithm is designed to provide continuous and automatic monitoring of vital health parameters using embedded systems and Python integration. The system uses an Arduino microcontroller to interface with sensors including a heartbeat sensor, temperature sensor, respiratory sensor, and pulse oximeter to track patient vitals in real time. Data is displayed on an LCD and transmitted to a connected PC or laptop via USB, where Python processes the input and applies a predictive algorithm to analyze trends and suggest possible prescriptions or medical actions. In the event of abnormal conditions, the GSM module automatically sends alerts to medical personnel or guardians, ensuring timely intervention. This system offers a reliable and scalable solution for remote healthcare monitoring and early detection of health issues.
Keywords: Arduino Uno ATMEGA328P, Heartbeat Sensor, Digital Humidity Temperature Sensor, GSM Module, Internet of Things.
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