• Ashwini R
• Sanjay M
• Manikanta P
• Rajumar P
• Tejesh R

Many individuals suffer from diabetics , for early detection of this disease is not possible with the low cost .the proposed system will be focused on the early detection of this disease through the foot pressure. The concept of this system uses the KNN algorithm which will utilizes the multiple sensors to gather the data and to detect the disease. This project aims to develop a low-cost, portable system for putting foot pressure for the detection , which can be used in home care settings or rehabilitation centers and hospitals , clinics. By leveraging wearable sensors (MPU6050 and piezoelectric crystals), the system will collect data related to pressure , angle and flex of the foot. The KNN algorithm allows for an efficient classification based on the data gathered from the sensor data. The machine learning algorithms and the sensors are integrated for the real time disease prediction.

Foot Pressure, Disease Detection, Prediction, Data classification, Disease monitoring.

"FOOT PRESSURE BASED DIABETICS DETECTION SYSTEM ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.c154-c160, March-2025, Available :http://www.jetir.org/papers/JETIR2503219.pdf

"FOOT PRESSURE BASED DIABETICS DETECTION SYSTEM ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppc154-c160, March-2025, Available at : http://www.jetir.org/papers/JETIR2503219.pdf