The Internet of Things (IoT) has revolutionized environmental monitoring by enabling real-time data collection and analysis from distributed sensors. This research presents an IoT-based Environmental Monitoring System implemented using Python, simulating key environmental parameters such as temperature, humidity, and air quality. The system utilizes MQTT protocol for efficient sensor data transmission to a centralized server, where data is processed and visualized through an interactive dashboard. The proposed approach demonstrates low-cost, scalable, and real-time monitoring capabilities suitable for smart cities and industrial applications. Experimental results validate the system's ability to detect abnormal environmental conditions and generate timely alerts, highlighting its potential for proactive environmental management.
Internet of Things (IoT), Environmental Monitoring, MQTT, Python, Sensor Simulation, Real-time Data Visualization, Smart Cities, Air Quality, Temperature Monitoring, Humidity Sensing