Air quality is important aspect of environmental monitoring that can be addressed using IoT systems. Air pollution, which can result from industrial activities, transportation, and natural events such as wildfires, can have detrimental effects on human health and the environment. Traditionally, gas monitoring systems rely on manual readings or periodic sampling, which can be time-consuming and prone to errors. With the advent of the Internet of Things, it is now possible to develop real-time gas monitoring systems that can detect and alert workers to hazardous gas levels. In this paper, we present the design and implementation of a gas monitoring system using Arduino Nano along with gas sensors i.e. MQ2, MQ4, MQ135 which is capable of providing accurate, real-time gas detection. We present the design and implementation of a gas monitoring system using IoT, which is capable of providing accurate, real-time gas detection. The results demonstrate the effectiveness of the IoT-based gas monitoring system in enhancing safety measures, reducing operational costs, and improving overall industrial efficiency. This research contributes to the advancement of IoT technologies in the domain of gas monitoring and sets a foundation for future research and development in this field.