Smart Sewing

• 

  My Party Pack

Inspiration

I have many dogs. It is sad that many do not have home or many are returned to the shelter. I think part of the issue is what is communicated or marketed. So I want to use MS Fabric to create an all-in-one solution to improve adoption rate.

What it does

Leveraging open source data - Montgomery County, MD - create a unique statements based on the description of the animal. For example - age, size, and animal type.

How we built it

Leverage various features of MS Fabric. For example:

1. Data Pipeline for data extraction
2. Lakehouse for data storage
3. Notebook to clean and use Azure OpenAI to generate unique messages
4. Power BI to show case generated statements and data visualization ## Challenges we ran into There were several
5. Understanding the pyspark rule
6. Understand the Lakehouse data requirements
7. Leveraging the Azure OpenAI . . too may. . too many ratelimiterror issues. . SMH ## Accomplishments that we're proud of Built a product. It is rough around the edges but a starting point. Especially when there is no prior experience to using Fabric. There was experience with Power BI. . that part was the easiest. ## What we learned It is great to see an all-in-one solution. Too often there are various products and you have to figure out how to get access, connection, and understand any limitation between them. That was not the case with Fabric - big fan. ## What's next for Smart Sewing There are several:
8. Really learn about the rate limits with Azure OpenAI
9. Improve data process and scheduling
10. Figure out new data visualizations to leverage
11. Identify other methods to using genAI

Built With

• azureopenaiapi
• datapipeline
• lakehouse
• notebook
• powerbi