This study aims to design and implement a real-time temperature and humidity monitoring system based on the Internet of Things (IoT) for the electrospinning process. The system utilizes a DHT22 sensor, NodeMCU ESP32 microcontroller, and the Blynk application for remote monitoring and automated fan control. Calibration of the DHT22 sensor against a digital thermo-hygrometer showed an average err…