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The escalating global demand for clean water mandates the development of inventive approaches to wastewater treatment systems. This paper investigates the incorporation of cutting-edge technologies, specifically Artificial Intelligence (AI), Machine Learning (ML), Blockchain, and the Internet of Things (IoT), to revolutionize and elevate wastewater treatment procedures. The collaborative application of these technologies presents a promising avenue for optimizing efficiency, sustainability, and overall performance within water treatment infrastructure. Artificial Intelligence and Machine Learning play pivotal roles in the predictive modeling and decision-making processes within wastewater treatment plants. These technologies facilitate real-time monitoring of water quality parameters, enabling dynamic adjustments to treatment protocols based on data-driven insights. The adaptive nature of AI and ML algorithms enhances system resilience, diminishes operational costs, and ensures adherence to rigorous environmental standards. The integration of Blockchain technology introduces a decentralized and secure framework for managing data in wastewater treatment systems. By capitalizing on the inherent transparency and immutability of blockchain, stakeholders can trace the complete lifecycle of water treatment, from source to discharge. This not only promotes accountability but also nurtures trust among regulators, utilities, and the public, fostering a more transparent and sustainable water management ecosystem. Moreover, the Internet of Things contributes to the establishment of a connected and responsive wastewater treatment infrastructure …