FaceReaderProf is a physiognomy application.
It is based on a neural network that is able to recognize faces in great detail and interpret the data from the point of view of physiognomy.
The process of teaching such a neural network is knowledge-intensive and complex.
E2 group specialists took it through tens of thousands of images. As our faces differ from each other by millions of parameters, and the neural network should react more thinly to each of them.
The next step we taught the neural network to compare the data with the principles of physiognomy. The application has got a huge array of data, a system of knowledge from Aristotle to the leading experts of our time, allowing determining the character of personality by face.
And we did it! In the final report, FaceReaderProf characterizes each individual's personality based on its characteristics of face features.
For example, wide-eyed people speak of tolerance, condescension, both to themselves and to others.
Testing the application has shown that in most cases the system works without errors. In addition, artificial intelligence is biased and free from emotions. It describes not subjective impressions, but gives physiognomy in the most pure form.
Now, just by uploading a photo to our neural network, everyone will be able to get a physiognomic personality analysis based on science.