Virtual Booth

The IoT-Based Wearable Stress Detector is a smart health device designed to track and notify stress levels in real time using Internet of Things (IoT) technology. As stress has become a common concern, especially among students and working individuals, this project aims to provide a simple yet effective solution for monitoring emotional well-being through technology. The main goal is to build a system that can measure changes in skin conductivity caused by stress and notify the user instantly. The device helps users become more aware of their stress levels by detecting if they are in a normal, moderate, or abnormal state. With this awareness, they can take steps to manage stress early, before it gets worse. This system uses a GSR (Galvanic Skin Response) sensor connected to an Arduino Uno, with an ESP8266 Wi-Fi module to send data wirelessly. The programming is done using the Arduino IDE, and the data is displayed through the Blynk IoT app, where users can view their stress status and receive personalized notifications. Bar and pie charts are also used to show the distribution of stress levels among users in a clear and visual way. Overall, the project shows how IoT and simple electronic components can be combined to support mental health in daily life. It not only increases user awareness but also offers a practical tool for early stress detection and better emotional management.