Ai Technologies For Pollution Detection and Remediation Efforts

Abstract

The escalating challenges of environmental pollution demand innovative and sustainable solutions beyond traditional monitoring and remediation methods. Artificial Intelligence (AI) technologies have emerged as transformative tools in detecting, predicting, and mitigating pollution across air, water, and soil ecosystems. By leveraging advanced algorithms, machine learning models, and sensor-based data integration, AI enables real time monitoring, precise source identification, and predictive analytics for environmental risks. Moreover, AI-powered robotics and autonomous systems are increasingly being deployed in pollution remediation efforts, such as waste segregation, water purification, and soil restoration. This paper critically examines the role of AI in environmental protection, highlighting its applications in pollution detection and remediation. It also explores case studies, opportunities, and ethical challenges associated with deploying AI- driven solutions. The findings suggest that while AI offers significant potential to revolutionize environmental management, its effective implementation requires robust infrastructure, interdisciplinary collaboration, and responsible governance frameworks.