Machine Learning based Assessment System for Scholarships and Credits

Machine Learning based Assessment System for Scholarships and Credits

Ms. Rasheeda B E¹, Prof. Amos R²

1PG Student, Department Of MCA, Maharaja Institute of Technology Mysore

2Assistant Professor, Department of MC, Maharaja Institute of Technology Mysore

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Abstract: A Scholarship is an award of monetary useful resource for a pupil to continue with similarly education. Usually, scholarships are furnished through governments or authority’s organizations. When college students are identified for his or her accomplishments it offers them the self-belief to pursue different goals. Receiving popularity from an enterprise or business enterprise enables college students take this step. Students can practice for scholarships primarily based totally at the eligibility criteria (including caste category, annual income, etc). Different schemes of scholarships are furnished for the scholars primarily based totally on exceptional eligibility criteria. The primary Objective is to broaden an academic primarily based totally utility that enables institutes to recognise the correct college students to praise scholarships. System is an automatic one, that shortlists maximum eligible pupil to praise scholarships. It applies Bayesian Classifier Algorithm to carry out choice criteria. Through the proposed machine, scholarship may be effortlessly rewarded as this machine mechanically shortlists the scholars primarily based totally at the given constraints the use of Machine Learning techniques.

Keywords: - system learning, ML primarily based totally scholarship, Bayesian Classifier, ML algorithm.