egealpay / visionary Goto Github PK

Take a selfie and the app will recognize you next time.

There is an Android app and a backend server.

The app detects the face and the server recognizes it.

built with Kotlin, Retrofit, Rx, Picasso and MLkit (Firebase ML Vision)

Minimum SDK 19, Android 4.4 Kitkat

https://poker-face-api.herokuapp.com

• python backend built on Flask framework and face_recognition library (built on dlib)

https://github.com/ageitgey/face_recognition

http://dlib.net

/meet

• accepts a photo and name, returns the status as json response

/predict

• accepts a photo and returns a name guess and status

• the server app runs in a Docker container,

• runtime is python 3.6 and gunicorn WSGI server

• the docker image is deployed to a heroku via

• heroku container:login

• heroku container:push web

• heroku container:release web

• container docs

the great article

Developed by Selim Öztürk & Ege Alpay during Commencis Internship Program 2018