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What is Non-Invasive Glucose Monitoring Using ML about?

This document summarizes a senior design project report on non-invasive blood glucose level monitoring using machine learning. The project aims to develop a non-invasive method of measuring glucose levels in blood to avoid the pain and risks of frequent finger pricks. The proposed method uses near-infrared light passed through the finger to detect variations in light intensity received, which can determine glucose levels. The measured levels are displayed on an LCD and sent to an Android app via Bluetooth.

Author

Abolfazl Saeedie

Language

EN