AUTOMATED ADMISSION WITH PSO SEARCH AND FEATURE SELECTION USING DECISION TREE

Authors:

G. Prasanthi*, G.Sirisha, Swetha

Page No: 199-205

Abstract:

The normal way of admission in a college is tedious tasks to come to the college fill the admission form and submit it. In admission time many students also wait for admission and then the details have been updated into a system this is a long-time process because it covers a high amount of manual 2orks to enter the data into a record and also takes much more time. Automated admission makes the admission of the students in a smart way. By this system, the student has entered the information. The portal contains different colleges. The college those who wish can register their details into the portal with their eligibility expectation of student. Then, at that point, the understudy has gone to the test in the gateway by utilizing AI procedure, the framework has observed the best school for the understudy and qualified understudy to the school given results. Finally, both students and colleges get notification about the admission.

Description:

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Volume & Issue

Volume-14,ISSUE-3

Keywords

Keywords – Machine Learning, Neural Network, Decision tree, PSO search.

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