Abstract: Foot Ulcers (DFUs) are a critical complication of diabetes, often leading to severe consequences such as infections and amputations if not detected early. This paper proposes "Soletrack AI," a smart insole-based healthcare monitoring system that enables early detection and monitoring of DFUs using pressure sensors, cloud connectivity, and machine learning. The system integrates wearable technology with cloud-based platforms to collect real-time foot pressure data, analyze abnormalities, and generate alerts through PushBullet notifications. Using Arduino Mega 2560, ESP8266 Wi-Fi module, Force Sensing Resistors, and cloud dashboards like ThingsBoard, Soletrack AI enables continuous remote monitoring and early intervention for diabetic patients.

Keywords: Diabetic Foot Ulcer (DFU), Smart Insole, IoT Healthcare, Pressure Sensors, Machine Learning, Arduino, ESP8266, Remote Monitoring.

Downloads: | DOI: 10.17148/IARJSET.2025.125194