In recent decades, advancements in digitization and automation have revolutionized safety measures in hazardous work settings. Utilizing sensors and intelligent devices, real-time data can be gathered even before a fire spreads, enhancing firefighting efforts through precise situational analysis and assistance in fire suppression, thereby minimizing danger and saving time in locating fires and people. This thesis introduces a design and development approach for a microcontroller-operated device capable of detecting fire, smoke, and gas leaks. The device's efficacy and functionalities were tested in a controlled environment to ensure its reliable performance.