Auto-Time Table Automation Tool using Genetic Algorithm

International Journal of Engineering and Management Research

View Publication Info
 
 
Field Value
 
Title Auto-Time Table Automation Tool using Genetic Algorithm
 
Creator Dr. V.Vinodhini
A.Subashini
S.Sathesh Kumar
 
Subject Computerization Tool
Time Table Automation Tool
Framework
Auto Timetable
Simple-to-use Tool
 
Description Time Table Computerization Tool is utilized for all educational pitch. The process includes two client features, the institution head and staff individuals. Institution head has all the rights to control and change the given information. All office accessible in the institution will be kept up through division's module. Administrator can pick any staff individual from the necessary office and can allocateto a prescribed class. During allocation the procedure followed with respective subjects in the institution for first, second, third, final year and so. Staff must be browsed with the necessary division. Administrator picks relating staff for their respective subjects and ration them. After staff dispersal, their time table will be shaped by the administrator which can be perceived by the staff individuals. Staff will have separate login framework, where they can login and can perceive their time tables. For other years same criteria will be followed in order to distribute the subjects among staff evenly. The Auto timetable schedule feature automates class, exam, and course forecast process for students, teachers, and different classrooms by taking into consideration all the possible. Furthermore, the timetable software integrates user-centric and simple-to-use tools to for educators to view, organize, and generate master and individual timetables for each teacher/ class/grade, develop personalized timetables, create and pin to-do lists, schedule substitute replacements for absent staff, manage and organize events on calendar, and much more on smartphone, tablet and computer devices.
 
Publisher Vandana Publications
 
Date 2021-04-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://www.ijemr.net/ojs/index.php/ojs/article/view/767
10.31033/ijemr.11.2.18
 
Source International Journal of Engineering and Management Research; Vol. 11 No. 2 (2021): April Issue; 122-125
2250-0758
2394-6962
 
Language eng
 
Relation https://www.ijemr.net/ojs/index.php/ojs/article/view/767/845
 
Rights Copyright (c) 2021 International Journal of Engineering and Management Research
https://creativecommons.org/licenses/by-nc-nd/4.0
 

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