Virtual Booth

Introduction: Climate change and extreme weather conditions have led to increased incidents of heat-related illnesses, especially heat stroke. Despite its severity, public awareness and preventive measures remain limited. The ability to monitor environmental factors and predict heat-related risks in real time can provide a proactive solution to safeguard health and well-being. This project introduces HYPERTHERMIA, a low-cost, portable heat stroke prediction device that uses atmospheric data to forecast environmental risks, particularly heat stroke.

Aim: To develop a portable and cost-effective device that predicts heat stroke risk based on real-time environmental parameters—air temperature, air humidity, and air pressure—using a custom-designed algorithm.

Methodology: The HYPERTHERMIA prototype was built using the following components and technologies:

·         Hardware: Arduino Nano microcontroller equipped with sensors to measure air temperature, humidity, and pressure.

·         Software: Arduino IDE using C/C++ compiler to run a custom algorithm based on predefined risk conditions.

·         Data Input: Environmental data was collected and matched against a decision table with five weather-risk categories (e.g., thunderstorm, flood, lightning, sunny, extreme heat).

·         Output: A connected Android application was developed to display weather type and corresponding risk level for users.

·         Safety & Cost Consideration: Prototype was constructed with user safety in mind and at a minimal cost of RM250

Results: The HYPERTHERMIA device successfully monitored and interpreted environmental data and accurately categorized the risk levels according to weather patterns. Risk predictions ranged from "good weather" to "extreme heat," with corresponding alerts for flood, lightning, or heat stroke conditions. The device demonstrated:

·         High accuracy in matching environmental parameters with specific weather-risk conditions.

·         Usability across school environments for early warning and emergency preparedness.

·         Affordability and portability, making it accessible for educational, public, and healthcare use.

Discussion: This innovation serves as a dual-purpose tool for preventive healthcare and environmental awareness. The real-time nature of data monitoring allows users to take immediate action in heatstroke-prone situations. The device aligns with the UN Sustainable Development Goals:

·         Goal 9: Promoting sustainable industrialization and innovation.

·         Goal 15: Supporting life on land through ecosystem protection and climate resilience.

Additionally, the device's scalability opens possibilities for integration into meteorological forecasting systems and disaster risk management platforms.

Conclusion: HYPERTHERMIA represents a significant step forward in wearable and portable environmental health devices. It empowers communities with real-time data, raises awareness on heatstroke prevention, and supports sustainable development through low-cost technological innovation. With broader implementation, it has the potential to improve public health outcomes and enhance climate adaptation strategies