The lowering of bed levels below the natural levels due to sediment transport is referred to as scour. Scouring is the vital cause of failure in hydraulic structures; thus, it is crucial to be aware of, the extent of scour. Scour takes place due to the localized divergence in sediment transport due to the construction of an obstruction over the existing flow pattern. The study here presents a numerical estimation of the maximum equilibrium scour depth under existing conditions at the site. The various parameters that are affecting the rate of sediment transport are studied by investigating the data sets of previous researchers. The estimation of maximum equilibrium scour depth uses the Adaptive Neuro-Fuzzy Inference System (ANFIS) as a modeling technique. In the present study, assorted individual variables such as the diameter of the pier, sediment size, approach flow velocity, approach critical flow velocity, flow depth, Froude number, and the dependent parameter, i.e., equilibrium scour depth, are considered. An equilibrium scour depth model is constructed by making use of ANFIS. For that, 218 training datasets and 57 testing datasets are sorted to establish the ANFIS model from previous studies. A gamma test has been performed on all the input–output pairs to select the best input combinations to prepare an efficient model. The scour depth model is developed using ANFIS with an average MAPE of 17.5 for all data sets.