Development of a System for Collecting and Analyzing of Applicant Lists

Student: Mikhail Drobinin

Faculty: Faculty of Management

Educational Programme: Software Engineering (Bachelor)

Final Grade: 8

Year of Graduation: 2024

This paper describes the process of developing a system for collecting and analyzing applicant lists. The system simplifies the process of analyzing applicant lists for admission officers during an admission campaign by providing applicant lists in one place and predicting chances of admit for each applicant. The first chapter characterizes the problems of analyzing applicant lists and methods to solve these problems. The second chapter describes the design process of the system and the neural network model. The last chapter describes the process of developing and testing parts of the system, as well as the process of training the neural network to predict the probability of applicants admission. The result of this work is a complete system which is ready for deployment.

Full text (added May 26, 2024)

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