Meelad Aslam, Basit Ishtiaq and Sheikh Saif Ali Mohsin2025-10-022025-10-022024https://escholar.umt.edu.pk/handle/123456789/7799This project presents the design and implementation of a real-time health monitoring system for pressurized vessels, based on strain gauges and data gathering. The main objective is to improve industrial settings' safety and dependability by providing early structural failure detection and continuous monitoring, which averts catastrophic mishaps. Using the Arduino Cloud IoT platform, the project makes use of the Arduino Uno R3 microcontroller and the ESP8266 WiFi module to provide cloud-based monitoring and remote data transmission. With this configuration, strain data can be visualized and analyzed in real-time, offering crucial information on the structural integrity of pressurized vessels. The use of BF350 strain gauges and a strain gauge amplifier module guarantees that precise data is collected, analyzed by the Arduino, and wirelessly communicated via the ESP8266. The report's layout leads the reader through the project's evolution while emphasizing how important it is to solve the shortcomings of both conventional and cutting-edge monitoring techniques. While advanced approaches are prohibitively expensive and need specialized knowledge, conventional techniques frequently rely on manual inspections and periodic maintenance, which can miss important flaws. This project provides a workable and scalable solution for industrial applications by utilizing widely accessible and affordable technology. The study, which showcases the system's efficacy in real-time monitoring and its potential to enhance industrial safety and operational efficiency, is divided into parts that address the project's objectives, methodology, results, and discussionenThesis