Casey focused on enhancing the Chameleon-company/MOP-Code repository by restructuring and documenting the Pedestrian Detection and Crowd Density Estimation project. They reorganized project directories and renamed components to clarify scope, then expanded Markdown-based READMEs to detail project purpose, datasets, requirements, and training configurations. Casey also managed artifact delivery by adding a binary data file, Case6_final.zip, to support future model training and evaluation. Their work emphasized computer vision and machine learning concepts, prioritizing reproducibility and maintainability. Although no code changes or bug fixes were made, the depth of documentation and artifact management laid a strong foundation for onboarding and future development.