Intelligent Blood Glucose Monitoring and Insulin Dosage Recommendation using AI

Project Code :TEMBMA3933

Objective

The objective of the Intelligent Blood Glucose Monitoring and Insulin Dosage Recommendation using AI system is to develop a smart healthcare solution for diabetic patients by continuously monitoring vital health parameters and predicting blood glucose levels using machine learning techniques. The system aims to provide real-time insulin dosage recommendations, improve patient safety, reduce manual monitoring efforts, and support effective diabetes management through intelligent analysis and automated alerts.

Abstract

The proposed system, Intelligent Blood Glucose Monitoring and Insulin Dosage Recommendation using AI, is designed to provide diabetic patients with real-time health monitoring and personalized insulin dosage recommendations. Built around an Arduino microcontroller, the system integrates multiple biomedical sensors, including a pulse oximeter, heart beat sensor, and temperature sensor, to collect vital physiological parameters. Sensor data is processed using a machine learning model trained on historical patient health profiles and glucose levels, enabling predictive analysis of blood glucose trends. Based on this analysis, the system can recommend appropriate insulin dosages, and a servo motor can be employed to control a simulated or real insulin injection mechanism. An LCD provides feedback to the user, while a buzzer alerts in critical conditions. Powered by a 12V adapter and supported with necessary connectors, the system offers a smart, automated, and low-cost solution for diabetic care.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Hardware Components:

Arduino
LCD display
Heart beat sensor
Temperature sensor
Pulse oximeter
Servo motor
Buzzer
Arduino USB cable
Power supply
12V adapter
Connectors

Software Components:

Embedded C
Python
Arduino ide

Learning Outcomes

Arduino pin diagram and architecture
How to install Arduino IDE and required software
Setting up and installation procedure for Arduino IDE
Introduction to Arduino development environment
Basics of Embedded C / Python programming
Basics of IoT platforms
Working of power supply
About Project Development Life Cycle:

Planning and Requirement Gathering (software’s, tools, hardware components, etc.,)
Schematic preparation
Code development and debugging
Hardware development and debugging
Development of the Project and Output testing