Shelf Image Recognition and Items Counter Dashboard POC

Design: Build a Proof of Concept (POC) as a dashboard that allows a BM to select their customer from a drop down, select a category and subcategory, and then be able to upload an image of store shelf where you are able to provide a list of products, brand, package types, prices, and description when available. The data from image should show up in a table format in dashboard to know the number of times specific Store Shelf Items in an uploaded image appears on the Shelf Image provided. The app, would be like a form-based app where the BM and Product Information would be made available on the screen, but all the BM, Customer and Product Data shall be pulled from Tableau. The App UI should have all the BM info ( Name, BM User_ID), Customer Info(Customer ID, Customer Name, Customer Location), Product Info (Brand, Packet Type, Price, Item Description, Weight). On the App UI, there should be a capability of capturing a picture. The contents of this picture should be understood and translated into the Products Info as describe above. The data translation process should be as thus: first, move all the data (BM, Customer & Product Data, and uploaded Image) into Azure BLOB. Then the data is passed from the BLOB into the Microsoft Foundry so that the LLM can easily translate the uploaded image and passed the translate data of the image along with other Product details, plus the BM's data into an Azure SQL database. no actual URL available as of now build the mock of this task and assume some fields for user creation, also run locally just a demo. Please provide the output of the Products' data deduced from the image along with the Customer and BM data in an organized format in an artifact.
Use the configured Tableau MCP and other MCPs as needed for your datasources