Wastewater treatment is crucial for environmental protection and public health. Integrating artificial intelligence (AI), machine learning (ML), and data analytics can transform the wastewater treatment process, making it more efficient, sustainable, and compliant with evolving regulations. Traditional methods of wastewater treatment face challenges like high costs, energy consumption, and limited adaptability. AI-driven models predict contamination levels, optimize chemical dosing, and enhance automation, reducing human intervention and errors. Machine learning, deep learning and reinforcement learning algorithms support real-time monitoring, fault detection and predictive analysis. Big data pro-cessing and statistical modelling improve wastewater quality predictions and treatment efficiency. This paper explores how artificial intelligence, machine learning, and data analytics enhance wastewater treatment’s efficiency, sustainability, and performance.

Wastewater Treatment, Deep Learning, Data Analytics