A Survey Paper on Recommendation System for Placement Interview Title

DOI

No DOI

Published In

Volume 3, Issue 2 (2022)

Published Online

March-April 2022

Pages

37-39

Article Type

Research Article

Check for updates

No DOI available for cross-reference

Abstract: The process of identifying the right person for the right job manually is tedious and time-consuming. Data analytics can be involved in automating this process to make it easy and efficient. This article focuses on identifying eligible students for a placement interview based on the placement requirement and skill set of the person. Student Academics and Placement Analysis was carried out to display the student, faculty details where the admin will be having access to modify the details. To give a view on student marks in a detailed version it would be helpful. In addition, notification will be sent to the right candidate through SMS and Email if his skill set matches with the placement requirement. It was necessitated because of some setback in manual result processing. It processed result will be shared with the placement cell in order to choose the eligible candidate for the drive. Its result processing characteristics include the calculation of Grade Point Average (GPA), generation of result sheets, and transcripts. By automating the processes such as the collection of the skill set of candidates, identifying the right candidate, intimating interview date and time to the corresponding candidate, this recommendation system takes a vital role in academic institutions, particularly in placement departments. It helps to reduce manual work, save time, and make students prepare for placement in advance.