• Building a ML Model to classify the given images as bleeding or non-bleeding using feature selection/extraction and

ensemble methods of machine learning.

• The model has been developed using vast datasets, various ensemble methods like Adaboost Classifier,Random Forest,

etc. and results have been confirmed through Performance Matrices obtained.