Abstract
The major sequential approach for getting placed in a good firm or organization is going through rigorous technical and interview rounds. This method is not lucrative but only time-consuming for both the students and the management with almost little output as compared to market standards. Currently, campus monitored and streamlined methods are used to segregate individual candidates possessing potential, but these methods are ineffective and not ecstatic for students. We developed a web application for both the students and admins to ease the process of placements. This analysis model is established with the aim in mind to keep the students acquainted with their weaknesses and areas with a scope of improvement. The users of either end keep track of their progress from time to time. Together, this website and the end-users and dedicated volunteer enthusiasm will coordinate several events over the year, raise awareness throughout the fraternity, and raise millions of talented enthusiasts to support countless companies and organizations impacted by lack of talented manpower to implement their efforts ideas.
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References
B. Godiwala, Y. Doshi, B. Vora, A. Odhekar, Training and placement cell android application. Int. J. Comput. Sci. Mob. Comput. (2020)
R.A. Dhole, Web based automation of training & placement cell. Int. J. Sci. Eng. Res. 7(2) (2016)
R. Ramya, G. Pallesami, S.K.V. Jayakumar, Analysis of campus recruitment parameters, but yet unpublished.
P.S. Sharma, R.R. Shetty, G.V. Yadkikar, D. Kanade, College automation system. IJIRST Int. J. Innov. Res. Sci. Technol. 2(10) (2016). ISSN (online): 2349-60102
M. Kaur, A. Kaur, R.S. Sawhney, Integrated campus management system using cloud computing. Int. J. Comput. Appl. (0975-8887) (2012) (International Conference on Computing, Communication and Sensor Network (CCSN))
S.B. Vanjale, R.K. Modi, S. Raj, A. Jain, Smart training & placement system. Int. J. Comput. Sci. Technol. 188. www.ijcst.com. ISSN: 0976-8491 (Online)
N. Rathod, S. Shah, K. Shirsat, An interactive online training & placement system. Int. J. Adv. Res. Comput. Commun. Eng. 3(12) (2013); Int. J. Res. Appl. Sci. Eng. Technol. (IJRASET) 6(X) (2018). ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 6.887
In 2015, Lalit Mohan Joshi presented a paper on a web-based college management system for engineering colleges and schools based on Java Platform. The program being proposed is user friendly and meets the basic requirements, vol. 5(II), Mar 2017. IC Value: 45.98, ISSN: 2321-9653
A. Yadav, A. Tripathi, N. Rakesh, S. Pandey, Protecting composite IoT server by secure secret key exchange for Xen intra virtual machines. Int. J. Inf. Comput. Secur. (2019). https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijics
S.M. Singal, N. Rakesh, R. Matam, A.K. Adhikari, An optimal storage and repair mechanism for group repair code in a distributed storage environment. Int. J. Intell. Decis. Technol. 12(4), 441–451 (2018). https://doi.org/10.3233/IDT-180347. https://content.iospress.com/articles/intelligent-decision-technologies/idt180347
D. Sarkar, N. Rakesh, K.K. Mishra, A. Gangwar, Population based clustering to enhance the utilization of surrogate in content delivery networks. Int. J. Intell. Decis. Technol. 12(4), 453–460 (2018). https://content.iospress.com/articles/intelligent-decision-technologies/idt180348
D. Sarkar, N. Rakesh, K.K. Mishra, A. Mehra, Density-aware replica server placement for utilization enhancement. Int. J. Adv. Intell. Paradigms (2019). https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijaip
A. Yadav, A. Tripathi, N. Rakesh, S. Pandey, Optimizing the DTLS handshake design for trusted execution environment enabled sensor nodes. Int. J. Secur. Networks (2019)
G. Rathee, N. Rakesh, Resilient packet transmission (RPT) for the buffer based routing (BBR) protocol. J. Inf. Process Syst. 12(1), 57–72 (2016). http://jips.jatsxml.org/upload/pdf/jips-12-1-57.pdf
A. Mundra, N. Rakesh, V. Tyagi, Query centric cyber physical system (QCPS) approach for multiple heterogeneous systems. Int. J. Comput. Sci. Technol. (IJCST) 4(2), 23–27 (2013). http://arxiv-web3.library.cornell.edu/ftp/arxiv/papers/1306/1306.6397.pdf; http://ijcst.com/?page_id=4250
A. Mundra, B.K. Gupta, G. Rathee, M. Chawla, N. Rakesh, V. Tyagi, Validated real time middle ware for distributed cyber physical systems using HMM. Int. J. Distrib. Parallel Syst. (IJDPS) 4(2), 23–33 (2013). https://doi.org/10.5121/ijdps.2013.4204. http://airccse.org/journal/ijdps/papers/4213ijdps03.pdf
A. Mundra, G. Rathee, M. Chawla, N. Rakesh, A. Soni, Transport information system using query centric cyber physical systems (QCPS). Int. J. Comput. Appl. 85(3), 12–16 (2014). https://doi.org/10.5120/14820-3050. http://www.ijcaonline.org/archives/volume85/number3/14820-3050
N. Rakesh, V. Tyagi, Parallel architecture coding: link failure-recovery mechanism (PAC: LF-RM). Int. J. Syst. Assur. Eng. Manage. (2012). https://doi.org/10.1007/s13198-012-0119-4. http://link.springer.com/article/10.1007%2Fs13198-012-0119-4. © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), The Division of Operation and Maintenance, Lulea University of Technology, Sweden, Springer, Aug 2012
B.K. Gupta, A. Mundra, N. Rakesh, Failure detection and recovery in hierarchical network using FTN approach. Int. J. Comput. Sci. Issues (IJCSI) 10(2), 414–421 (2013). http://www.ijcsi.org/papers/IJCSI-10-2-2-414-421.pdf
N. Rakesh, V. Tyagi, Linear-code multicast on parallel architectures. Adv. Eng. Software 42(12), 1074–1088 (2011). https://doi.org/10.1016/j.advengsoft.2011.07.012. http://www.sciencedirect.com/science/article/pii/S0965997811002079
N. Rakesh, V. Tyagi, Linear network coding on multi-mesh of trees using all to all broadcast. Int. J. Comput. Sci. Issues 8(3), no. 1, 462–471 (2011). http://ijcsi.org/papers/IJCSI-8-3-1-462-471.pdf
A. Kapoor, H. Magotra, G. Bharti, S. Pandit, N. Rakesh, Implementing video data compression along with network coding in video multicast. Int. J. Adv. Comput. Networks Secur. Commun. Networks 1(1), 153–156 (2011). http://seekdl.org/journal_page_papers.php?jourid=85&issueid=21&page=25&#seekdl
N. Tyagi, T. Gupta, R. Nagi, N. Rakesh, V. Tyagi, Naive parameter for the network erasure coding for video transmission over a wireless network. Int. J. Mob. Adhoc Network 1(2), 199–206 (2011). http://www.ifrsa.org/index.php?option=com_content&view=article&id=41&Itemid=40
K. Shah, G. Dua, D. Sharma, P. Mishra, N. Rakesh, Transmission of successful route error message (RERR) in routing aware multiple description
S.P. Singh, S.S.P. Shukla, N. Rakesh, V. Tyagi, Problem reduction in online payment system using hybrid model. Int. J. Managing Inf. Technol. 3(3), 62–71 (2011). http://arxiv.org/abs/1109.0689
N. Rakesh, N. Nitin, Analysis of multi-sort algorithm on multi-mesh of trees (MMT) architecture. J. Supercomput. 57(3), 276–313 (2010). https://doi.org/10.1007/s11227-010-0404-4. http://link.springer.com/article/10.1007%2Fs11227-010-0404-4
N. Singh, P. Chauhan, N. Rakesh, N. Nitin, Team spirit model using standards for video delivery. Int. J. Commun. Network Syst. Sci. 3(4), 364–368 (2010). https://doi.org/10.4236/ijcns.2010.34046. http://www.scirp.org/journal/PaperInformation.aspx?PaperID=1633
P.K. Verma, T. Gupta, N. Rakesh, N. Nitin, A mobile ad-hoc routing algorithm with comparative study of earlier proposed algorithms. Int. J. Commun. Network Syst. Sci. 3(3), 289–293 (2010). https://doi.org/10.4236/ijcns.2010.33037. http://www.scirp.org/Journal/PaperInformation.aspx?paperID=1473
N. Rakesh, N. Nitin, Multi-sort algorithm on multi-mesh of trees MMT. J. Comput. 1(1), 1–8 (Aug 09). http://www.masaumnet.com/archives/mjc/volume1/issue1/mjc010112.pdf
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Singh, S. et al. (2022). Placement Analysis—A New Approach to Ease the Recruitment Process. In: Kumar, A., Zurada, J.M., Gunjan, V.K., Balasubramanian, R. (eds) Computational Intelligence in Machine Learning. Lecture Notes in Electrical Engineering, vol 834. Springer, Singapore. https://doi.org/10.1007/978-981-16-8484-5_3
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