From Inbox to Insights: AI-enhanced email analysis with dlt and Kestra

A student created an AI-enhanced email analysis tool using Kestra and dlt to automate the process of extracting data from Gmail, analyzing sentiment with OpenAI, and notifying results via Slack. The tool loads data into BigQuery and provides insights, reducing manual intervention and errors. Kestra is an open-source automation tool that makes workflows easy to create and manage, while dlt is a library for loading data from various sources into structured datasets. The student set up two flows in Kestra, one extracting email data and the other analyzing sentiment, and used a schedule trigger to execute the flow on a regular basis. The outcome is a Slack assistant delivering crisp inbox insights and a well-organized table in BigQuery ready for further analysis.

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