Wastewater treatment is a crucial procedure for preserving the environment and public health, but conventional techniques frequently face difficulties with regard to efficacy, affordability, and sustainability. Efficient wastewater treatment and bioremediation remedies are intrinsically linked to microorganisms and their enzymatic activity, which are crucial. A vast spectrum of microbes may metabolize a wide range of complex organic molecules, degrading them down through their metabolic processes. Artificial intelligence (AI) and Machine learning algorithms (MLA) provide novel techniques for analyzing, forecasting and managing uncertainty in wastewater treatment operations. The idea of utilizing microbial communities and AI to transform wastewater treatment technology has gained popularity in recent years. This premise explores into novel techniques, processes, and the possible benefits of combining several disciplines. It demonstrates how this fusion has the potential to change wastewater treatment, opening the path for a more ecologically friendly and optimized future.