Team Name | Ratio Team |
Track | Public Sector |
Use Case | This case study explores an innovative approach to automatically detect architectural barriers in images of public spaces to promote more inclusive urban environments. |
Technology | SAS Viya, Python, Deep Learning |
Region | EMEA |
Team lead | Patrizia Schmidt |
Team members | @IlariaCasati , @salvatore_ , @C_Burragato , @PaloAndre , @grazz94_ , @marco_guarisco , @Ennio_Lessio , @stefanodcg |
Social media handles | |
Is your team interested in participating in an interview? | Y |
Optional: Expand on your technology expertise |
Good news: We've extended SAS Hackathon registration until Sept. 12, so you still have time to be part of our biggest event yet – our five-year anniversary!
Latest updates from the SAS Hackathon Desk.
Looking for inspiration? Check out:
• Past SAS Hackathon Team Profiles.
Build your skills. Make connections. Enjoy creative freedom. Maybe change the world. Join us at the 2025 SAS Hackathon Sept. 15 – Oct 10. Visit the SAS Hackathon homepage.
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