Early Detection and Self-Management of Diabetes Using Wearable Devices and Machine Learning Applications
Objective
The main objectives of this project are to enable early detection and self-management of diabetes through wearable health monitoring devices integrated with machine learning. It utilizes real-time physiological data like heart rate, glucose levels, and activity patterns to predict risk and suggest lifestyle adjustments. This approach promotes proactive healthcare, reducing complications and improving quality of life for diabetic patients.
Abstract
This project presents a wearable diabetes monitoring system using Arduino, LCD display, SpO2 sensor, heart rate sensor, and temperature sensor. The system collects real-time health data and uses a machine learning model to predict glucose levels for early detection of diabetes-related risks. The results are displayed on the LCD for easy monitoring. The proposed system offers a low-cost, portable, and efficient solution for continuous health tracking, helping users manage diabetes effectively and improve preventive healthcare.
Keywords: Arduino, Wearable Devices, Machine Learning, Diabetes Prediction, SpO2 Sensor, Heart Rate Sensor, Temperature Sensor.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Learning Outcomes
- Arduino pin diagram and architecture
- How to install Arduino UNO / setup software
- Setting up and installation procedure for Arduino UNO
- Introduction to Arduino UNO environment / development setup Basic programming in Arduino UNO (Embedded C)
- Basics of Embedded programming using Arduino UNO
- Basics of IoT platforms
- Working of power supply
- About Project Development Life Cycle:
- Planning and Requirement Gathering (software, tools, hardware components, etc.)
- Schematic preparation
- Code development and debugging
- Hardware development and debugging
- Development of the project and output testing
- Practical exposure to:
- Hardware and software tools
- Solution providing for real-time problems
- Working with team/individual
- Work on creative ideas
- Skills developed:
- Project development skills
- Problem analyzing skills
- Problem solving skills
- Creativity and imaginative skills
- Programming skills
- Deployment
- Testing skills
- Debugging skills
- Project presentation skills
- Thesis writing skills
Paper Publishing
Request Call Back
Would you like to receive a free callback now?
Choose the best time for callback:
Leave your message and we will contact you as soon as possible
6-2-85/B, Old Maternity Hospital Road, Thyagaraja Nagar, Tirupati, Andhra Pradesh – 517501
+91 9030333433
+91 9393939065
0877-2261612
Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
