Campus Air Quality Monitor

The Campus Air Quality Monitor project addresses the growing concern of environmental health in educational institutions due to increasing air pollution from vehicles, construction activities, and poor ventilation. The system uses sensors to monitor pollutants such as CO₂, CO, NO₂, NH₃, PM2.5, and humidity levels. Data is collected via an ESP32 microcontroller, processed, and sent to the cloud using Blynk IoT for real-time monitoring. This system provides users with live visualizations and alerts through a mobile app. The project aims to promote health awareness and provide timely alerts for unsafe air quality conditions, ensuring a proactive approach to campus health. Future improvements may include AI for air quality predictions.