Working from home (WFH) online during the covid-19 pandemic has caused increased stress level. Online workers/students have been affecting by the crisis according to new researches. Natural response of body, to external and internal stimuli is stress. Even though stress is a natural occurrence, prolonged exposure while working Online to stressors can lead to serious health problems if any action will not be applied to control it. Our research has been conducted deeply to identify the best parameters, which have connection with stress level of online workers.   The main aim of the project is to design a IoT-based stress analysis system using esp32 and sensors. The main controlling device of the project is ESP32. GSR, Heartbeat sensor, temperature sensor, LCD display, Buzzer is interfaced to the esp32 module. We will design a wearable device. All these components are fixed on wrist belt which is used to monitor the stress using sensors. ESP32 module has inbuilt WI-FI so, it will continuously read the data from sensors will be display on LCD and update them into the blynk mobile application.    

 The objectives of the project include:

• Monitoring heart rate, temperature using sensors.
• Galvanic Skin Response (GSR) measuring unit of surface resistance skin or conductivity.
• Using Blynk mobile application to upload the sensor data.
• User can access this device from anywhere in the world.
• Using esp32 module to achieve this task.

The main building blocks of the project are:

• Adapter power supply.
• ESP32.
• Heartbeat sensor.
• Temperature sensor.
• GSR sensor.
• LCD display.

Software’s used:

• Arduino ide studio compiler to write the program.
• Express SCH for Circuit design.
• BlynkAPP.

          Block Diagram:     video: