Developed and delivered an AI for Science Indexing and Related Topics Taxonomy feature for the github/explore repository, focusing on improving the categorization and discoverability of AI applications in scientific research. The work involved designing an expanded taxonomy and implementing a dedicated index, enabling researchers to surface AI-related materials more efficiently across domains. Leveraging skills in AI, machine learning, and content management, the solution was documented and tracked at the commit level for transparency. Markdown was used for documentation and data modeling, ensuring clarity and maintainability. No major bugs were reported or fixed during this period, reflecting a focused feature delivery.