shaleen410/Alert-O-Monitor — reverse-engineered prompt

Reverse engineered prompt

GitHub

I want you to turn this repo into a working end to end demo for a bank style early warning system. It should cover alert generation, alert monitoring, alert resolution, and some prediction so someone can see the full flow in one place.

Please set up the Microsoft lakehouse called AOM_Lakehouse, load the raw files and lookup files into it, create the tables, and run the data engineering notebooks in the right order with the main notebook last. Then wire up the data science pieces so the loan prediction and product recommendation notebooks work, and include the voice analytics notebook too if credentials are needed, just leave clear placeholders and setup notes for the storage account key, OpenAI access, and where the audio files should go.

After that, create the semantic model with the relationships shown in the repo, reconnect the Power BI report to the lakehouse, and make sure the final dashboard works. If anything is unclear, check current docs online and leave me a simple runbook so I can reproduce it.

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