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Business Operations, Education · AI Agent, Automation, Dashboard
An in-house Azure AI tool that classifies raw interview and observational text into 12 predefined categories and automatically updates Flourish visualizations.
Interview and observational data arrived as Word documents or unstructured text. Researchers manually separated text, assigned categories, prepared CSV files, calculated category frequency, and imported the results into Flourish before every reporting cycle.
I developed a branded internal pipeline that accepts Word documents and text inputs through SharePoint, Blob Storage, or an upload dashboard. Azure AI separates the content into meaningful snippets and classifies each one into one of 12 predefined categories. Results include the original text, predicted category, and confidence score. Approved results are exported as CSV or JSON and automatically connected to Flourish wheel and bar-chart templates.