Skip to content

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

Notifications You must be signed in to change notification settings

chaitrapirisingula/saving-face

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

67 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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 || [email protected] || chaitrapirisingula
  2. Jack Rankin || [email protected] || jackrankin
  3. Joseph Seibel || [email protected] || j-seibel
  4. Tong Wu || [email protected] || 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)



About

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

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • JavaScript 70.8%
  • Python 18.6%
  • HTML 6.9%
  • CSS 3.7%