Published Paper Details:

Natural disasters such as landslides and structural collapses often leave victims trapped beneath debris, where rapid detection is critical for survival. TerraPulse-X presents an intelligent human presence detection system that combines sensor fusion and predictive analytics to support search and rescue operations. The proposed framework integrates ultrasonic, vibration, sound, and DHT11 temperature humidity sensors with an ESP32 microcontroller for continuous environmental monitoring. Sensor readings are collected, processed, and transmitted to a Flask-based monitoring platform through serial communication for real-time visualization and analysis. Historical data obtained from the sensing modules are utilized to train a Linear Regression model capable of forecasting future distance, temperature, and humidity values. The predictive capability assists rescue personnel in identifying environmental trends and potential indicators of human presence beneath rubble. An IoT-enabled notification mechanism using the Blynk platform provides immediate alerts whenever abnormal conditions or detection events occur. Experimental evaluation demonstrates reliable sensing performance, efficient data transmission, accurate prediction outcomes, and enhanced situational awareness, making the system suitable for disaster response applications and emergency rescue scenarios worldwide today.