International Journal of Scientific Research and Engineering Development

The IOT based Wound Monitor System will monitor and analyze the real time status of wound. The unit will include a combination of sensors such as infection/gas detection sensor MQ3, moisture sensor (used for wound that is already wet, damp but not completely soaked) and temperature/humidity sensor DHT11. The sensors are connected to a microcontroller-ESP-32 for processing. Measurements are streamed up to the ThingSpeak cloud for remote storage and visualization. This data is used to feed an ML model written in python and Flask that takes the parameters of the wound as input and predicts its severity level and provides treatment recommendations. Both healthcare professionals and patients are provided with a web application in which they can check the status of the wound, alerts as well to aid decision-making. The proposed intelligent system will improve wound care management through early onset complication detection and provide personalized treatment suggestions based on data analysis.

Jayaraj N, Pavan Kumar KS, Sharan SD, Vedant Ramesh Nidoni, Vishwa, "Smart Wound Care: Real-time Monitoring and Predictive Analysis using IoT and ML" International Journal of Scientific Research and Engineering Development, V8(6): Page(2811-2816) Nov-Dec 2025. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.