In today's world, B2C interaction is becoming more and more remote. The businessmen of today need a secure way to sign documents from anywhere.

What it does

The app scans the user's ID card and face biometrics and compares them to the ones in the official database.

How we built it

We built the mobile app with Swift and Firebase, and we did the image processing in the backend with Python and Flask. The backend server connects to Firebase to get the uploaded images, and it sends a message to the client when the processing is done. (Lots of work with a sprinkle of sleep)

Challenges we ran into

Doing machine learning on an old CPU is not a good idea... Also, iPhones like to save pictures in random orientations and image recognition doesn't like that.

Accomplishments that we're proud of

The app is easy to use and the concept is a great match for today's problems.

What we learned

We learned how to use face recognition and how to make more animations in Swift.

What's next for Faceify

Finishing the administration side of the app, and bringing the project to as many companies as possible.

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