Virtual Booth

Climate change has significantly increased the occurrence of extreme weather events, resulting in a rise in heat-related illnesses such as heat stroke. Despite its growing severity, public awareness and preparedness remain insufficient. To address this critical gap, HYPERTHERMIA was developed as a low-cost, portable prediction device designed to monitor environmental conditions in real time and forecast the risk of heat stroke. This innovative solution acts as a proactive tool to protect public health, especially in schools and community environments where vulnerable populations are at risk. The device predicts heat stroke risk by analyzing air temperature, humidity, and atmospheric pressure, processed through a custom-built algorithm. Constructed using an Arduino Nano microcontroller, integrated environmental sensors, and programmed using Arduino IDE (C/C++), HYPERTHERMIA collects live data, classifies risk into five predefined weather-risk categories, and communicates the results via a connected Android mobile application. Developed at an affordable cost of RM250, the device prioritizes safety, portability, and accessibility. Testing showed high accuracy in identifying risk levels, from “good weather” to “extreme heat”. Besides, it detected other hazardous conditions such as flooding and lightning, enhancing its value as a multi-hazard early warning system. Beyond its function as a health-monitoring device, HYPERTHERMIA also serves as an educational tool, raising awareness about climate impacts and promoting preparedness in young users. The device aligns with United Nations Sustainable Development Goals, particularly Goal 9 (Industry, Innovation, and Infrastructure) and Goal 15 (Life on Land, Climate Resilience), by offering a scalable, sustainable, and impactful solution. With broader implementation, HYPERTHERMIA has the potential to significantly reduce heat-related health risks, improve public health outcomes, and strengthen resilience against climate-related disasters, especially in underserved and at-risk communities.

Keywords: Heat Stroke, Real-Time Monitoring, Climate Resilience