An end-to-end AI quality inspection system. Utilizes synthetic data from Blender and an Explainable AI (XAI) model built with PyTorch. Features an interactive web app demo using Streamlit.

Extension research of the project Q-UCSpec, a QAMP 2025 project that integrates first-principles Linear Response (Lr) Time-Dependent Density Functional Theory (TDDFT) simulations with Quantum Machine Learning (QML) to explore the optical spectra of photonic upconversion materials.