Online Campus Recruitment System-A Machine Learning Model
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Abstract
As the job market for college students heats up, firms are paying more attention to campus recruiting as the major way of employing college graduates. This research looks at the indicators and reasons for possible hazards for companies when recruiting on college campuses. Several measures are advised in the interim, which may assist organizations to decrease the hazards connected with campus recruiting and boost its success rate. Training and placement cell operations are expedited, and students are put in the most coordinated scenario feasible, all owing to the campus recruiting system. This promotes the aggregation of student knowledge to boost the selection rate and simplifies the process of automatically creating management data. The major purpose of online training and placement is to automate the placement cell. CV validation, advertising job vacancies to a student community, maintaining contact with companies to invite students to internships and other events, monitoring the selection process, and engaging with a broad variety of users.
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