In this project, we did not attempt to recognize stereochemical information such as chirality and E/Z structure. However, these are important concepts in organic chemistry for students to understand and being able to show these is one of the key characteristics and benefits of 3D models. However, this is challenging because it requires the computer vision model not only to understand the connectivity of the atoms but also their relative positions. There are minimal differences between the two stereoisomers. Additionally, the model needs to learn how to output SMILES with stereochemical information (such as iso-SMILES) rather than regular SMILES. Because the iso-SMILES between two stereochemical configurations could be too similar to motivate the model to distinguish them, adding this contrastive loss could encourage the model to learn the differences.