Kerala's scorching summers put outdoor workers like athletes and farmers at serious risk of heatstroke. In 2024, hundreds of heat-related cases were reported, with some even leading to death. The SunGard is our answer to this problem: a smart, pocket-sized device that gives an early warning for heatstroke.This intelligent system uses TinyML to run machine learning models on itself, allowing it to work in real-time. It constantly checks key factors like temperature, humidity, and even a person's heart rate. By spotting dangerous patterns early, SunGard issues an immediate alert before a person feels severe symptoms.With SunGard, we want to offer a simple, tech-driven safety solution to the people who need it most. It's a powerful combination of modern technology and the real need for safety on the ground.
Problem statementIn Kerala and especially in districts like Palakkad, extreme heat has turned into a major public health hazard. During summertime 2024, two people have died from heatstrokes, while quite a few accidents and incidents related to heat came to be reported over the period. Most of these incidents concern laborers, athletes, and vulnerable populations, especially those exposed to the sun for longer periods.The absence of an efficient, real-time alert system is among the chief reasons for these incidents. People are generally unmindful of the combined hazards of high temperature and UV radiation intensity until they begin to feel the condensed symptoms, by which time it is often too late. Hence, this project attempts to fill in the existing gap by providing a simplistic yet effective solution to monitor the environment and give warnings to people about the high chances of heatstroke before it becomes a life-threatening emergency.
Solution overviewA Smart Heat Stress DetectorOur solution is a simple and inexpensive device, lightweight and portable, devised to provide instantaneous warnings about possible heat-stroke conditions in a given area. The project goes further than mere temperature checks and attempts to evaluate heat-related risk more effectively, having demonstrated that such an instrument is indeed required in places such as Kerala.1. Hardware & ComponentsThis project pivots on a powerful yet small microcontroller interfacing with a set of environmental sensors. * Microcontroller: We chose the XIAO ESP32 S3 (or the NodeMCU if one has an ESP8266 version) for its small form, very-low power draw, and embedded Wi-Fi. * Environmental: For ambient air temperature, humidity, and atmospheric pressure, a BME280 module is used. * UV Sensor: Using a GUVA-S12SD sensor will measure UV radiation intensity. Sun exposure is a major risk factor for heatstroke and this thus is a critical sensor to have. * Display: A 16x2 I2C LCD display (or 128x32 OLED) shows sensor data in real-time and the final risk scoring in the device so that the user-turning.
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