Our teachers give a lots of efforts to make student understand concepts clearly but the additional task that they have to perform is to take each and every student attendance and to analyze that student is active in class or not.
Our system helps teachers with automatically face-recognition system and adding into the database of the students who are present in the session effectively.
We built it using ML with python. In this project we have developed complete face-rec system using insight face which captures four points of human face and predicts their features efficiently.
Challenges that we ran into initially that are due to lots of images to train the system the file sze of system is getting more and more increased which is not suitable way for the system so what we did is we created cloud database to store images from Redis database
We have successfully completed the development of face-recognition system and currently the system can register faces and predict the faces
From this project we learnt to develop face recognition system using Machine Learning
Our Face-Recognition system is in early stage so it will require more and more person entries in the database so as model can get trained perfectly
Log in or sign up for Devpost to join the conversation.