• Vaishnavi Chatreshwar
• R.B.Khule
• Arushi Nagmote

Foot pressure monitoring system is to develop an intelligent real-time monitoring solution for the analysis and interpretation of foot pressure distribution, with the help of advanced technologies for machine learning. This study examines key areas of diabetic foot ulcers (DFU) and suggests an innovative approach to early detection using the Internet of Things (IoT) and machine learning (ML). A foot ulcer is an open wound that usually falls under the foot. However, diabetics may avoid complications caused by deep foot ulcers when early prevention is practiced. This study introduces a portable shoe prototype equipped with temperature and pressure sensors. This IoT-enabled device makes daily foot assessments easier at home, allowing timely identification of previous symptoms and severity monitoring. By integrating the ML algorithm, we integrate the actual recovery system to prevent complications, reduce amputations and improve the delivery of aggressive diabetes.

Diabetic foot ulcer, Diabetes Mellitus, Sensors, Wearable shoe, internet of things, ML algorithms, Alert System.

"SMART FOOT PRESSURE MONITORING SYSTEM FOR ANOMALY DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.i451-i457, March-2025, Available :http://www.jetir.org/papers/JETIR2503862.pdf

"SMART FOOT PRESSURE MONITORING SYSTEM FOR ANOMALY DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppi451-i457, March-2025, Available at : http://www.jetir.org/papers/JETIR2503862.pdf