Team Name | Ex Machina |
Track | Health Care & Life Sciences |
Use Case |
To analyze food insecurity in various locations of the USA using the census data consisting information about population, employment statistics, demographics, food sufficiency interview results, etc., and propose broader solutions to reducing food insecurity. |
Technology | SAS Viya, Python, Tableau. |
Region | AMER |
Team lead | Sai Sreeshma Thupakula |
Team members | @ashhy1805 @Nitika_D @sucharitha6 |
Social media handles | *all team members' social media links here* |
Is your team interested in participating in an interview? | N |
Optional: Expand on your technology expertise |
Jury Video:
Pitch Video:
Very interesting work, Ex Machina! Thank you for your thoughtful analysis. Unfortunately, many of the federal programs linked to the pandemic have been sunset (https://www.reuters.com/world/us/us-food-benefits-poor-shrink-pandemic-provisions-end-2023-02-16/) and inflation is reducing the value of the dollar and making it harder for low-income families to budget. So, we will likely see food insecurity increase in 2023. Do you have any additional thoughts on non-governmental responses, particularly given the political climate in Washington?
Again, well done!
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