BibTeX:

@article{IJIRSTV1I11042,
     title={Talent Explorer Using Data Mining},
     author={Anandkumar Jha, Amit Dichwalkar, Afsar Shaikh and Ganesh Pawar},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={11},
     pages={31--35},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I11042.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Our proposed application, ‘Talent explorer using data mining’ is based on educational data mining and can be operated using client-server architecture. It would take into account the previous performances of a student and predict whether a student is hardworking, aspiring and has a correct attitude or not based on analysis. So if the answer obtained is yes then the teaching staff can use this data to nurture the students in an effective manner if they wish to. The same data can also be used by the companies for recruiting students as employees by considering their overall past performances. The application can act as an assistant to the human resource department for taking decisions more effectively related to recruitment of students and also assist the placement cell in identifying and strengthening the weak candidates for placements.

Hardworking, data mining, aspirational, attitude, punctuality, honest creativity, attitude, extra-curricular, initiatives, innovativeness