Dehydration is a serious health condition that can lead to fatigue, dizziness, kidney problems, and life-threatening complications if not detected early. This project presents an AI-based IoT dehydration monitoring system that continuously monitors physiological parameters and predicts dehydration levels in real time. The system integrates biomedical sensors such as GSR, ECG, SpO₂, and DS18B20 temperature sensor. The collected data is processed using an Arduino Uno, and an AI-based classification algorithm categorizes dehydration into Low, Medium, and High levels. The system includes an LCD display for real-time monitoring and uses an ESP32 module to send data to the Blynk IoT platform for remote monitoring and alerts. The proposed system is portable, wearable, and cost-effective, suitable for healthcare, sports, and elderly monitoring.

The proposed AI-based IoT dehydration monitoring system provides an efficient solution for continuous health monitoring. By combining sensors, Arduino, AI, and IoT, the system enables early detection of dehydration and reduces health risks.

1.S. S. Patil et al., “IoT Based Hydration Monitoring System”, IEEE, 2024 2.M. A. Haque et al., “Smart Wearable for Dehydration Detection”, 2025 3.A. Kumar et al., “AI-driven IoT Healthcare System”, 2024 4. R. S. Latha et al., “IoT Healthcare Monitoring System”, 2024 5.P. S. Ramgowd et al., “Blynk IoT Monitoring System”, 2022.

© 2025 International Journal of Engineering and Techniques (IJET).

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