Vol. 2 No. 5 (2020): Volume 2, Issue 5, Year 2020

Alumni Info-Com Management with Distinct Classification of Data

Sasikumar R
Department of Computer Science and Engineering, K. Ramakrishnan College of Engineering, Tiruchirappalli, Tamil Nadu, India.
Haritha B
Department of Computer Science and Engineering, K. Ramakrishnan College of Engineering, Tiruchirappalli, Tamil Nadu, India.
Borshiya Vincy T
Department of Computer Science and Engineering, K. Ramakrishnan College of Engineering, Tiruchirappalli, Tamil Nadu, India.
Kamali M
Department of Computer Science and Engineering, K. Ramakrishnan College of Engineering, Tiruchirappalli, Tamil Nadu, India.
Published September 25, 2020
  • Alumni Information Management,
  • Classification,
  • Support Vector Machine,
  • Guide Juniors
How to Cite
R, S., B, H., T, B. V., & M, K. (2020). Alumni Info-Com Management with Distinct Classification of Data. International Research Journal of Multidisciplinary Technovation, 2(5), 42-50. https://doi.org/10.34256/irjmt2057

Plum Analytics


The Alumni Info-Com Management System is able to manage alumni data of a college and provide easy access to the same. Alumni of college stay in touch with their immediate friends and it is hard to stay connected with college mates. Contact between alumni develops business connections and to gain insight in a new field. Current students will be initially given a student login id. Access to the system can help them to seek help in their projects or for placements. 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 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.


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