AIR AND NOISE POLLUTION MONITORING SYSTEM

Project Algorithm :

Random Forest, Decision Tree

Project Overview :

Air and noise pollution are two of the most harmful environmental threats in urban areas, impacting both human health and ecosystem balance. This project presents an real-time monitoring system that measures air quality (e.g., PM2.5, CO2) and ambient noise levels. The system collects data through smart sensors and transmits it to a centralized server for visualization and analysis. The goal is to provide accurate, location-based pollution data that can assist governments, environmental agencies, and the public in understanding pollution trends and taking preventive actions.

Reference Video : -