ST416: MOLD REDUCTION VIA INTELLIGENCE AUTOMATION (MORVIA)

AL-AMIN BIN MOHD SUBRI Universiti Teknologi MARA

Indoor air quality is a critical factor in maintaining public health, particularly in enclosed environments such as clinics, laboratories, and storage facilities. In tropical climates like Malaysia, high humidity and fluctuating temperatures create ideal conditions for mold growth, which poses significant respiratory health risks and causes structural damage. Traditional methods ofmold prevention, such as manual inspectionand scheduled maintenance, are oftenreactive and inefficient. This projectintroduces a Mold Reduction Via Intelligence Automation (MORVIA) utilizing Internet of Things (IoT) technology to automate environmental monitoring and control. Using an ESP32 microcontroller, DHT22 sensor, and a DC ventilation fan, the system continuously monitors temperature and humidity levels. When conditions favorable for mold growth (Temperature > 23°C and Humidity > 65%) are detected, the system automatically activates a ventilation fan to reduce moisture. Integrated with the Blynk IoT platform, the system provides real-time data visualization and sends alert notifications to maintenance personnel via mobile devices. This proactive approach minimizes health hazards, reduces manual labor, and ensures safer indoor environments, aligning with sustainable development goals for health and innovation.