Development of Web Application to Automate Training & Placement Process

Siddhesh Ninawe , Prayas Tiwari , Prayash Bhoyar , Rahul Yadav , Ashish Nanotkar

T&P, shortcomings, tracking, upcoming drives, time-consuming, modules, criteria.

The smooth operation of training and placement operations on campus is the responsibility of the college training and placement cell. Up until now, the training and placement activity's workflow has been slowed down by the manual process of monitoring pupils and shortlisting them in accordance with recruiters' requirements. To solve this problem, we came up with a web application that streamlines all of these operations into one place with the least amount of work. It is a web-based platform that aids in addressing the issues the training and placement cell encountered during campus drives and other activities of a similar nature. Three modules will make up the system: Student, HOD, and T&P cell. Each module's workflow and position on the platform will be distinct. The training and placement cell will post all of the information about the forthcoming campus drive, including the eligibility requirements and the drive details, on the platform. The student's responsibility is to acknowledge the drive notification and have the option to participate in the drive at their discretion. The HOD can keep an eye on impending drives and look for newly arrived and positioned students.

Published Paper   E-Certificate

"Development of Web Application to Automate Training & Placement Process", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.e212-e216, March-2023, Available :https://ijnrd.org/papers/IJNRD2303426.pdf

Volume 8 Issue 3, March-2023

Pages : e212-e216

Paper Reg. ID: IJNRD_189683

Published Paper Id: IJNRD2303426

Downloads: 000118852

Research Area: Computer Science & Technology 

Country: Nagpur, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2303426

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303426

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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