data mining for filtering the resumes using decision tree

This is an idea for filtering the resumes. If you have an organization you will be getting multiple resumes. Those resumes should be filtered based on the attributes given by building a decision tree algorithm. A dataset should be developed based on the following attributes: level of education- high school, undergraduate, graduate age- (18-25),(26-30) ,(31-45) Gender- male and female certifications- yes and no internship-yes and no siblings- yes and no education level of the parents- high school, bachelors and graduate . So, there should be 100 people in the data that is 100 data points. There should be 2 classes hired and not hired and an entrophy calculation should be there for discrete values( this has to be analyzed mainly). Decision tree should be built taking the [login to view URL], the output should visualize the decision tree and show whether particular person is hired or not hired. Building the decision tree is important . i need the screenshots of the output after its done. SO, prepare dataset, build decision tree, visualize tree and visualize predictions for each dataset point.