This project aims to optimize the machining parameters for wire cut Electrical Discharge Machining (EDM) of DB6 Tool Steel to improve surface roughness. Parameters such as pulse-on-time, pulse-off-time, and peak current are varied to study their effects on surface finish. The Taguchi method is used for systematic analysis, utilizing orthogonal arrays to design experiments. The goal is to find the optimal parameters that minimize surface roughness. Additionally, an Artificial Neural Network (ANN) model is developed to predict surface roughness, enhancing the overall optimization process for wire EDM of DB6 Tool Steel.