scholarly journals Alumni Info-Com Management with Distinct Classification of Data

2020 ◽  
pp. 42-50
Author(s):  
Sasikumar R ◽  
Haritha B ◽  
Borshiya Vincy T ◽  
Kamali M
Keyword(s):  
Support Vector Machine ◽  
Management System ◽  
Web Application ◽  
Easy Access ◽  
Support Vector ◽  
Support Vector Machine Algorithm ◽  
Single System ◽  
Alumni Associations ◽  
Business Connections

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.

scholarly journals Alumni Info-Com with Distinct Classification of Data using Support Vector Machine Algorithm

2020 ◽  
Vol 8 (6) ◽  
pp. 3363-3367
Keyword(s):  
Support Vector Machine ◽  
Support Vector ◽  
Support Vector Machine Algorithm ◽  
Single System ◽  
Web Based ◽  
Svm Algorithm ◽  
Alumni Associations

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.

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