CABAL : A Review Paper on Training and Placement Departmental Portal

Authors(5) :-Jidnyasa Raut , Komal Patil, Payal Gothi, Riddhi Kamat, Prof. Nileema Pathak

This Project is named 'CABAL' which is a training and placement portal wherein a group of people (students) come together to participate in the training and placement related activities in college. Cabal is a web-based portal, which can be accessed securely by the students with their credentials. This Portal will help training and placement department for complete automation i.e. from sending notifications about registration to company visit as well as reports can be generated according to the students who are selected previously depending on placement year, girl to boy ratio, department wise, graph of the students who were unplaced. This is to minimize the manual work, provide a complete overview of passed placement details and maximum optimization.

Authors and Affiliations

Jidnyasa Raut
Information Technology, Atharva College of Engineering, Mumbai, Maharashtra, India
Komal Patil
Information Technology, Atharva College of Engineering, Mumbai, Maharashtra, India
Payal Gothi
Information Technology, Atharva College of Engineering, Mumbai, Maharashtra, India
Riddhi Kamat
Information Technology, Atharva College of Engineering, Mumbai, Maharashtra, India
Prof. Nileema Pathak
Information Technology, Atharva College of Engineering, Mumbai, Maharashtra, India

Report Generation, SMS Notification, Filter, Forum.

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Publication Details

Published in : Volume 3 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 976-978
Manuscript Number : CSEIT1831232
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Jidnyasa Raut , Komal Patil, Payal Gothi, Riddhi Kamat, Prof. Nileema Pathak, "CABAL : A Review Paper on Training and Placement Departmental Portal", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.976-978, January-February-2018.
Journal URL : http://ijsrcseit.com/CSEIT1831232

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