A multi-layer perceptron (MLP) was employed to predict ion types and concentrations from the processed EIS data. The dataset was randomly divided into training (90%) and testing (10%) subsets. The model was trained using the Adam optimizer with a learning rate of 0.001 over 40,000 epochs. Training was performed on a CPU, with a total runtime of approximately 5 minutes.