An Expert System to Predict Readiness of a Student for Campus Placements Using Neural Networks
T.Jai Sai Chand1, T.Manideep2, M. Sai Surya3, V.Kantha Rao4
1T.Jai Sai Chand, Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Vijayawada (A.P), India.
2M. Sai Surya, Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Guntur (A.P), India.
3T. Manideep, Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Guntur (A.P), India.
4Mr. V. Kantha Rao, Department of Computer Science Engineering, Koneru Lakshmaiah Education, Foundation, Vijayawada (A.P), India.
Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 499-502 | Volume-8 Issue-4, April 2019 | Retrieval Number: D6492048419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Many of the students that are getting graduated from many universities across the globe have one goal, to get placed in a company after their graduation. Job placements are getting also getting difficult day by day as there are a number of people getting graduated every year. It is not only that but also most of the students are getting good grades in the examinations but are not actually gaining knowledge. But the real difficulty comes when they are not recruited into any of the companies. They keep on attending for a new company for recruitment drives and they won’t get placed. Doing this repeatedly does nothing but consumption of time. Instead, they can get some training to get the necessary skill set that is desired by the recruiter. The model proposed in this research paper helps students to know their vulnerable areas and makes the work of recruiter easier. This model also helps the student to know which category they belong, Such that they try to improve themselves. Every student is categorized into three categories namely Ready for the placement, Need Practice, Need Training. Using Neural can change the results in the system drastically, as neural networks search in every single way for getting the necessary combination of the attributes and which in turn will lead us in the right path and also simplifies most of the things. This system is all about guiding a student and help possibly every individual to get placed in a job after their graduation
Keywords: Career Assessment, Student Placement, Student Category, Skill Based Classification, Career Assessment.
Scope of the Article: Classification