Numerous hazards are often reported in structures that are attributed to continuously varying stress conditions of structures, and the continuously varying constitutive characteristics often lead to misapprehension of strength parameters and result in the loss of lives and resources. This study has developed a novel technique wherein an Internet of Things (IOT)-based system is utilized to continuously monitor the stress variations occurring in the underground structures. The study utilized cloud-based integrated display channels to monitor the variation in the constitutive characteristics in continuity. The developed setup incorporates a holistic model involving ultrasonic pulse velocity sensors, piezometric strain sensors, and accelerometers to observe the change in the constitutive characteristics of underground structures. Furthermore, numerous tests were carried out to determine the accuracy of the sensor-based results, and it was observed that the obtained results were in semblance with in situ experimental results. The study may be utilized for detection of progressive failures in the structures through machine learning models, and timely alerts could be issued for proactive decision-making to prevent any potential structural failure. Integration of IoT features such as wireless data transmission and cloud storage supported accessibility and predictive maintenance strategies, thus showing the practicality of this system for real-world applications.