Artificial Intelligence (AI) offers accurate disaster forecasts, pollution source detection, and comprehensive air and water quality monitoring in environmental monitoring. This paper delivers a general description about environmental monitoring value while presenting conventional method difficulties alongside potential AI-based solutions. The embedded computing system connects sensing devices which track environmental parameter changes including noise and air quality as well as water pollution disturbances from baseline conditions. AI technologies will boost pollution monitoring accuracy by advancing their algorithms and data collection systems while utilizing increased computational capabilities for better management of pollution control.