<p>Activated carbon was derived from Sonajhuri (<i>Acacia Auriculiformis</i>) a novel waste wood biochar which was processed through the one step slow-pyrolysis method for Zinc (Zn) elimination from aqueous media. By varying conditions like concentration, temperature, pH, dose and contact time of the prepared biochar, 98% of removal efficiency of zinc was achieved through batch study. In addition to having a high specific surface area of 144.899 m²/g, <i>Acacia Auriculiformis</i> (AAC) biochar also features small, low-volume pores, which expand the surface area available for adsorption. EDAX analysis reveals that it has more carbon than 87% of its weight. FTIR analysis verified the existence of aliphatic and aromatic bonds in the carbon, which also contributed to the adsorption process. The adsorption mechanism may be predicted with the aid of kinetic and isotherm simulations. For the experimental data in the current investigation, the Temkin isotherm model and pseudo-second-order kinetic model performed better. Additionally, this study demonstrates how an artificial neural network (ANN) can be utilized to predict the effectiveness of an AAC in removing zinc from an aqueous solution. A mathematical modelling Levenberg–Marquardt algorithm was used for training the networking batch mode. The study is significant for development of low cost technology for separation or recovery of Zn from wastewater.</p>