Wearable Location Tracker During Disaster using AI and IoT

The combination of Artificial Intelligence (AI) and the Internet of Things (IoT) has improved the capabilities of location trackers, especially in disaster management. This brief explores the collaboration between AI and the Internet of Things to improve the efficiency and effectiveness of tracking devices in the field in the event of an incident. Wearable location trackers equipped with IoT sensors collect real-time data on the wearer’s movements, environmental conditions, and vital signs. AI algorithms process this data, enabling the device to distinguish between normal activities and emergency situations. Machine learning algorithms enable the device to learn from historical data, improving its predictive capabilities and reducing false alarms. This design of GPS location tracking is through a satellite. It includes AI and IoT for receiving the data in case of disaster. To view the location, the person can use any device connected to the Internet. The parameters we can find through this are the scalable map of the surrounding area, latitude, longitude, speed, and altitude.