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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM20107

ENHANCING CAMPUS RECRUITMENT TRAINING PLATFORM: A CASE STUDY

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM20107

Volume:

7 |

4 |

Apr 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SCM

Shreyash C. Meshram1

KMG

Kanav M. Gathe2

YKC

Yamini K. Chakole3

SVD

Swati V. Dhanke4

RAK

Ruchita A. Kale5

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Abstract

Companies visit campus every year for providing placement offers from 6th semester onwards. Students participate in the companies drive and want to crack the campus recruitment and get placed with desired package. To do so they need proper resources to crack the test. Many students clear aptitude test but find it difficult to clear the coding round. Some students don’t know what kind of coding questions are coming in the test. This Website is designed based on cloud computing that will help students to prepare for coding questions in the Campus Placement. It is going to ease their work by listing all those previous year coding questions of different companies at one place and in free of cost. Also, their time will be saved as there is no need for them to visit several websites. This Website aims to provide guidance on how to prepare for coding questions and also help them to code in various languages they are comfortable like C, C++, Python, Java.

KEYWORDS

campus placement training platform compiler Django Framework

Cite This Article

Shreyash C. Meshram1, Kanav M. Gathe2, Yamini K. Chakole3, Swati V. Dhanke4, Ruchita A. Kale5, "ENHANCING CAMPUS RECRUITMENT TRAINING PLATFORM: A CASE STUDY," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, Apr 2023. https://doi.org/10.55041/IJSREM20107

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Publication Date

2/4/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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2

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2

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5

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This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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