This project focuses on using Convolutional Neural Networks (CNNs) to accurately quantify chemical states via Time-Resolved Photoemission Spectroscopy (TRPES) for Perovskite Solar Cells. It also aims to determine uncertainty with Bayesian Neural Networks.