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Diabetic Breathalyzer

Developed a non-invasive and cost effective device to estimate blood sugar via acetone concentration in breath.

  • Arduino
  • Python
  • IoT
  • Embedded Systems

Project Overview

The Diabetic Breathalyzer is a non-invasive, cost-effective device designed to estimate blood sugar levels by measuring acetone concentration in a patient's breath. This solution provides a painless alternative to traditional blood tests for diabetic monitoring.

Technologies Used: Arduino, Python, IoT.

Key Learnings: Embedded systems, sensor calibration, micro controllers, RTOS.

Device Interface

The device transmits data to a monitoring dashboard, allowing users to track their glucose trends over time without the need for finger-pricking.