Wearable Tracker to Detect Location & Vital Signs of Victims During Disaster

Disasters such as earthquakes, landslides, floods, and structural collapses make victim detection extremely challenging due to blocked communication paths and lack of real-time information. Traditional rescue operations rely heavily on manual search and delayed reporting, resulting in slow response and higher mortality rates. To address these challenges, this work proposes a wearable IoT-based tracker capable of continuously monitoring critical vital signs—heart rate, SpO₂, body temperature, and motion—along with real-time GPS location of victims. Sensor data is processed on an ESP32 microcontroller and transmitted via Wi-Fi to a cloud backend for live visualization through a mobile dashboard. The system enables faster detection, accurate victim localization, automated alerts, and data-driven rescue prioritization, making it highly suitable for real-world disaster scenarios. The proposed solution is low-cost, rugged, energy-efficient, and scalable for large deployments.