IoT – Based Overthinking and Stress Monitoring System for Students

Author(s)	MS NAFIA A W, ms HARINI H P, ms CHRIS VASHNI V, ms VARSIKHA T R
Country	India
Abstract	Student stress has become a major concern due to increasing academic pressure and lifestyle challenges. This paper proposes an IoT-based wearable system to monitor stress levels in students in real time. The system uses physiological sensors such as heart rate, GSR, and temperature sensors to collect body signals. These signals are processed using a microcontroller and transmitted to a cloud platform for analysis. A multi-parameter analysis approach is used to improve the accuracy of stress detection by evaluating combined variations in physiological signals. The analyzed data is displayed through a mobile application for real-time monitoring. Additionally, the system provides alerts and simple suggestions to help students manage stress effectively.
Keywords	IoT, Stress Monitoring, Wearable Device, GSR Sensor, Heart Rate, Temperature Sensor, Multi-Parameter Analysis, Student Mental Health, ESP32 , Mobile Application
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 4, July-August 2026
Published On	2026-08-23

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