Diabetes management requires frequent monitoring of blood glucose levels, which traditionally involves invasive finger-prick methods that can cause discomfort and reduce patient compliance. This project presents the design and development of a non-invasive glucometer with IoT monitoring, aimed at providing a painless, portable, and real-time health monitoring solution. The system utilizes optical sensing technology through the MAX30102 sensor to estimate physiological parameters such as blood glucose trends, SpO₂ levels, and heart rate without penetrating the skin. The collected data is processed using an Arduino Uno microcontroller, which serves as the central control unit. For user interaction and real-time feedback, an LCD display is used to show measured parameters instantly. The device is powered by an adapter. The integrated ESP8266 Wi-Fi module enables wireless data transmission to the ThingSpeak cloud platform for remote monitoring and analysis. To enhance safety and responsiveness, a buzzer alert system is incorporated. The buzzer activates automatically when any parameter (such as abnormal heart rate, low SpO₂ levels, or unsafe glucose trends) crosses predefined threshold limits, providing an immediate warning to the user. This system offers a compact, cost-effective, and user-friendly solution for continuous health tracking, especially beneficial for diabetic patients. By eliminating the need for invasive testing, enabling IoT-based remote monitoring, and providing real-time alerts, the proposed device enhances comfort, accessibility, and proactive healthcare management.  

Main objectives of the project:  

  To design a non-invasive system for monitoring glucose trends, heart rate, and SpO₂.

  To use the MAX30102 sensor for real-time health data collection.

  To process the data using an Arduino Uno microcontroller.

  To display the measured values on an LCD screen.

  To send the data to the cloud using the ESP8266 Wi-Fi module for IoT monitoring.

  To provide remote access to health data through the ThingSpeak platform.

  To implement a buzzer alert system for abnormal conditions.

  To develop a low-cost and user-friendly health monitoring device.    

The major building blocks of this project are:

• Adapter Power supply.
• Arduino UNO.
• Max30102(Non invasive Glucose, SPO2, Heartrate) sensor.
• LCD display.
• ESP8266 WI-FI module.
• Buzzer.

  Software’s used:

• ARDUINO IDE.
• Embedded c language.

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