Detecting Diabetes Range Diet and Predicting ...

Detecting Diabetes Range Diet and Predicting Diet Plan

Author Name : P. Praveenatha, S. Sai Chandan, K. Sai Ruchitha, Dr. Syed Jahangir Badhasha, Dr. Abhishek Choubey

DOI: https://doi.org/10.56025/IJARESM.2023.11123923

ABSTRACT

In this paper, we implemented a web application and a glucometer hardware circuit, which detects the diabetes range by inserting a tiny sensor under your skin, on your belly or arm and we are predicting the diet plan based on the range and the particular symptoms which are affecting the person by diabetes. We detect diabetes range using sensor called Continuous Glucose Monitoring (CGM). Here, the web application shows the diet plan for the particular-range of particular-type of diabetes with symptoms. And the circuit is based on Arduino UNO where we can get the range in mg/dL. A glucose sensor is an electrochemical diagnostic strip which used glucose oxidises enzymes. So that, we are implementing a web application that displays the diet plan for the particular range, And the diet can lower the risks of diabetes. By eating a healthy diet food can improve our health in a better way. Fiber-rich promotes weight loss and risk of diabetes. We implement a hardware circuit by using Arduino to show the range of a person when they keep their blood drop on the blood strip. For creating a web application,we use both front-endprogramming language and back-end programming language. So, by using both the hardware circuit we detect the diabetes range and we predict the diet plan by using a data set that can be inserted into a web application by using Python Django and HTML.

Keywords: Arduino UNO, LCD Display, MQ-6 Gas Sensor, 5V power supply unit, Python Django frame work