Non-Invasive IoT Blood Glucose & Hydration Telemetry Node with Cloud Analytics
Breakthrough optical NIR spectroscopy sensor rig measuring blood perfusion, glucose trends, and hydration index with ESP32 Wi-Fi/BLE and hospital cloud dashboard.
Project Overview
A wearable student biomedical prototype featuring 940nm/660nm multi-wavelength optical transmission sensors, transimpedance amplifiers, ESP32 BLE controller, 0.96-inch OLED screen, and an IoT tele-health web dashboard for continuous non-invasive metabolic trend tracking. ### Real-World Problem Diabetic patients suffer pain and infection risks from frequent daily finger-prick blood tests. ### Practical Student Solution Uses multi-wavelength optical absorption spectroscopy through the fingertip/earlobe to detect glucose-related refraction shifts safely without skin punctures. ### Hardware Modules & Sensors - ESP32-WROOM-32 - Multi-Wavelength NIR Sensor - Transimpedance Amplifier Board - 0.96 OLED Display - 3.7V LiPo Battery & Charger ### Commercial & Institutional Value High commercial demand across healthcare institutions and final-year biomedical engineering students.
Modern commercial and industrial infrastructure requires automated, real-time sensing and telemetry. Conventional manual monitoring suffers from high latency, human error, and lack of predictive fault visibility for Non-Invasive IoT Blood Glucose & Hydration Telemetry Node with Cloud Analytics.
A turnkey engineering prototype integrating high-precision sensor modules, dedicated microcontroller unit, and cloud telemetry protocols to automate measurement, trigger alert thresholds, and provide remote dashboard control.