Monitoring Systems for Mountain Climbers using IoT

Using IoT technology, the Mountain Climbers Monitoring System offers a novel way to solve safety problems in mountain climbing. This system is designed to monitor climbers' vital signs in real-time, follow their whereabouts, and evaluate the surrounding environment in order to improve safety and speed emergency response in remote alpine areas. Important components include sensors such as temperature sensors, accelerometers, pulse rate sensors, and GPS modules to track the physiological characteristics of climbers, as well as an integrated Internet of Things architecture to send data in real-time to a central monitoring platform. The data collected and transmitted by climbers may be used in the Mountain Climbers Monitoring System with Node MCU, a well-liked open-source development board built on the ESP8266 Wi-Fi module. The Mountain Climbers Monitoring System may use LoRa (long-range) technology to send data from wearable devices to the central monitoring platform. The data is collected from the transmitter's end LoRa, and the data is transmitted to the receiver's end LoRa. The data is shared on the IOT open-source webpage Blynk. If there are any abnormalities found, the alarming message is displayed on the LCD on the receiver's end. Machine learning models such as KNN, decision trees, Naive Bayes, logistic regression, random forests, and SVM are used to test the real-time data on trained data.