Abstract:
In this modern age student attendance management system is one of the most important thing in
an institute. In general attendance system Proxy attendance is one of the major issue. In modern
days everything based on computer or Artificial intelligence(AI) that’s why we develop our
research based project in machine learning. In this paper we will propose an extremely basic
method to perceive proxy attendance and try to improve accuracy of attendance. Compare training
image and test image then it will automatically generate attendance. I Prediction is much easier
when there is “Machine Learning”. The main purpose of the current study is to predict the addiction
of people on Facebook and aware of their daily routine with high accuracy. To complete our
research based project, we use six ‘Machine Learning’ classification algorithms such as Histogram
of Oriented Gradients(HOG), Affine Transformation, Face Landmark Estimation Algorithm,
Embedding Method, Tweak Neural Network, Support Vector Machine (SVM)
