AURA is a public-facing hurricane risk assessment product designed to make disaster preparedness more transparent and actionable at the community level.It is built to support emergency planners and local decision-makers by identifying higher-risk census tracts to help prioritize preparedness and response resources. I secured $6,500 in competitive research funding and led the project end-to-end, defining the product vision, identifying user needs, and coordinating data science and engineering work from concept through launch. The product integrates FEMA and National Risk Index data to deliver interpretable machine learning estimates of disaster recovery costs at the census-tract level, supporting more informed preparedness and resource planning.