Saving Face

Overview

Saving Face is a secure vault to store medical information in case of emergencies. This application is created with React, Python, and Okta.

Who's on your team?

List the full names, email address & Github username of your teammates

1. Chaitra Pirisingula || cpirisingula2@huskers.unl.edu || chaitrapirisingula
2. Jack Rankin || jrankin6@huskers.unl.edu || jackrankin
3. Joseph Seibel || jseibel2@huskers.unl.edu || j-seibel
4. Tong Wu || twu11@huskers.unl.edu || TWu0417

What is the name of your App?

Saving Face

What does your app do?

Saving Face is a secure vault to store medical information in case of emergencies. Accounts are created and secured with Okta. Every account is either a admin or a user. Admin would be hospital employees that want to access your information in case of emergencies. User's can update their profiles and admin can scan their faces to determine their identity. We used machine learning to write our own facial recognition algorithm that is extremely accurate.

What challenges are you building for? SELECT ALL THAT APPLY

See hackmidwest.com/#prizes for challenge details

• Pinata Web3 Challenge
• Pinata Challenge
• Pinata ERC-6551 Challenge
• Okta Challenge
• GEHA Generative AI Emergency Response Challenge
• Corporate Challenge (only for official company teams)
• College Challenge (only for teams of up to 5 CS students from the same school)