IoT Based Non-Invasive Glucometer Using Machine Learning

Techs: NodeMCU WiFi Microcontroller, 16x2 LCD, NIR Sensor, High Pass Filter, Noise Filter, Analog to Digital Conveter, Bluetooth Sensor, 9v Battery, Arduino IDE, MIT App Inventor, Android App (Designed)
Department: Electrical & Computer Engineering
MSTeamURL: click here

Our project is designed to provide a cost effective solution that will measure concentrations of blood glucose level of patient non-invasively and will transmit the data in real time through Internet of Things (IoT) technology. The project aims to develop a device which could easily be used by anyone at anywhere anytime. The measured data can also be accessed via web link and mobile application so that it can be observed by the doctor and saves the time to meet the doctor in person.

Globally, the cases of diabetes have been continuously increasing in the past three decades, and it is noted that this is one of the leading cause of death. This pandemic is a metabolic condition where the body cannot regulate proper blood glucose which leads to the abnormally high blood sugar. Victims of this disease require continuous monitoring the level of blood glucose which is done by the finger pricking. Glucose monitoring techniques currently being used to check the blood glucose level of diabetic patients around the world are invasive, much painful, time-consuming, and a constant burden for the household budget. Hence, it is necessary to  nd a technique to measure level of blood glucose non-invasively to minimize or eliminate the disadvantages encountered with the normal daily monitoring of blood glucose. The non-invasive technique of glucose monitoring overcomes these limitations, due to which this topic of non-invasive glucose monitoring is significantly being researched and represents an exciting and highly sought after market for many companies. Our project aims to provide a cost effective solution that will measure concentrations of blood glucose level of patient non-invasively and will transmit the data in real time through Internet of Things (IoT) technology. The project aims to develop a device which could easily be used by anyone at anywhere anytime. The measured data can also be accessed via web link and mobile application so that it can be observed by the doctor and saves the time to meet the doctor in person. The device will not only show the updated data of the patient but will also show their previous recorded results.

Project Team Members

Registration# Name Email
FA17-BEE-121 Syed Muhammad Ishaq Ahmed Ghaznavi ishaqghaznavi.ig@gmail.com
FA17-BEE-150 Samon Aslam samonaslam102@gmail.com
FA17-BEE-182 Muhammad Hassan hassan.leo945@live.com

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