Building ESexpert: The Machine Learning System for Voice Interactive Interview Score Assessment for Student Loan Funds
Abstract:Scholarship applicants' interviews generally last from an hour to an entire day. Several critical situations of each student caused the interviewer's feelings, such as stress, sadness, and anxiety. Listening to and discussing negative points can cause mental health problems. In order to decrease the duration of interviewing, This research paper discusses the development of a machine learning model for evaluating Student Loan Fund interview scores and an automated voice-based interactive machine learning interv… Show more
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