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Diabetes management requires continuous and reliable glucose monitoring; however, conventional invasive techniques are painful and inconvenient for frequent use. To address this issue, this work presents an IoT-enabled non- invasive glucose monitoring system using Near-Infrared (NIR) sensing and ESP32 microcontroller. The proposed system integrates multiple physiological sensors, including a glucose sensor, pulse sensor, temperature sensor, and moisture sensor, to improve accuracy and reliability. The ESP32 processes real- time sensor data and displays the results on an LCD, while abnormal values trigger alerts. For remote monitoring, the system uses Blynk IoT platform, which allows real-time visualization of glucose level, heart rate, body temperature, and moisture percentage through a mobile application. Experimental results demonstrate effective system performance, with observed glucose values around 95 mg/dL, pulse rate of 82 BPM, and body temperature of 28.5°C under normal conditions. The live graphical display in Blynk confirms stable data transmission and real-time monitoring capability. The developed system provides a non-invasive, low- cost, and user-friendly solution for continuous glucose monitoring. The integration of IoT enables remote access, data logging, and health tracking, making the system suitable for home-based healthcare and future telemedicine applications.
"Iot-Enabled Non-Invasive Glucose Monitoring System Using Nir Spectroscopy And ESP32", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.c550-c557, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604338.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator