Alumni Info-Com with Distinct Classification of Data using Support Vector Machine Algorithm
R. Sasikumar1, B. Haritha2, T. Borshiya Vincy3, M.Kamali4, S. Deva Priya5
1R. Sasikumar, Assistant Professor, Department of Computer Science and Engineering, K. Ramakrishnan College of Engineering, Tiruchirappalli, Tamil Nadu, India.
2B. Haritha, UG Students, Department of Computer Science and Engineering, K. Ramakrishnan College of Engineering, Tiruchirappalli, Tamil Nadu, India.
3T. Borshiya Vincy, UG Students, Department of Computer Science and Engineering, K. Ramakrishnan College of Engineering, Tiruchirappalli, Tamil Nadu, India.
4M. Kamali, UG Students, Department of Computer Science and Engineering, K. Ramakrishnan College of Engineering, Tiruchirappalli, Tamil Nadu, India.
5S. Deva Priya, Assistant Professor, Department of Computer Science and Engineering, SRM TRP Engineering College, Tiruchirappalli, Tamil Nadu, India.
Manuscript received on March 12, 2020. | Revised Manuscript received on March 25, 2020. | Manuscript published on March 30, 2020. | PP: 3363-3367 | Volume-8 Issue-6, March 2020. | Retrieval Number: F8757038620/2020©BEIESP | DOI: 10.35940/ijrte.F8757.038620
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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: This paper presents to create a centralized alumni network for betterment of institutions and upcoming student’s community. The System is able to collect and store alumni information for future communication. Former students of institution can communicate with their immediate friends as well as forthcoming students and various members involved in the institution community. Apart from the alumni, the institutions/organization also benefitted when sustains this network. This single system can satisfy almost every requirement of the alumni. Usually, alumni associations are organized in colleges, but may also be organized in a place where the alumni can meet each other. Despite the fact that there are many existing systems in colleges to maintain the alumni information, they are manual and more time consuming to current students to reach out their alumni and maintaining the privacy of the alumni. To overcome these issues, we proposed a web based application which allows alumni to update their information and students can connect with them and can view the filtered events posted by alumni and admin through Support Vector Machine algorithm (SVM). Proposed method, SVM algorithm used to classify the alumni members and their posting message from others in this community.
Keywords: Alumni Management System, Random Number Generator, Supervised Machine Learning Algorithm, Classification, Support Vector Machine Algorithm.
Scope of the Article: Parallel and Distributed Algorithms.