This document discusses using an artificial neural network (ANN) model to predict drying parameters for bitter leaf. It aims to develop a suitable ANN model to describe bitter leaf's moisture content removal during drying. The ANN will be trained to predict drying parameters and validated using experimental data. This could help understand and better control the drying process. Materials and methods describe collecting and preparing bitter leaf samples, drying them via sun drying, and using MATLAB to design and test ANN models with moisture content and drying time as inputs and outputs.