• 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.