Paper Title
An Intelligent Timetable Generator Using Cloud and IOT Technology: TIMELY TRIGGER
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Registration ID: IJNRD_219510
Published ID: IJNRD2404763
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Keywords
automatic timetable generation, live tracking, push notifications, genetic algorithm, cloud communication, scheduling
Abstract
Generating timetables for educational institutions is a complex and challenging task. It is important to create timetables that meet a variety of constraints, such as the availability of instructors, classrooms, and resources, as well as the preferences of instructors and students. Additionally, timetables should be fair and optimal in terms of minimizing the number of conflicts and maximizing the satisfaction of all stakeholders. Traditional methods of timetable generation are manual and time-consuming. They are also prone to errors and may not be able to meet all of the scheduling constraints. Automatic timetable generators (ATGs) can help to overcome the challenges of manual timetable generation. However, existing ATGshave several limitations. For example, they may not be able to handle complex scheduling constraints, they may not be able to generate fair and optimal timetables, and they may not be able to generate timetables that meet the specific needs of educational institutions. This research paper proposes a new intelligent timetable generator named Timely Trigger that addresses the limitations of existing ATGs. Timely Triggeris able to handle complex scheduling constraints, generate fair and optimal timetables, and generate timetables that meet the specific needs of educational institutions. In addition, Timely Trigger also includes push notifications and live tracking for faculty and students. Push notifications can be used to remind faculty of their upcoming classes and to notify students of any changes to the timetable. Live tracking can be used by students to track the location of their instructors and to estimate the time it will take for their instructors to arrive in class.Future incorporation of IoT devices for detailed analytics and administrative oversight.
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How To Cite (APA)
Rishab Lath, Dipesh Mahajan, Taniya More, Garima Malakar, & Dinesh Jain (April-2024). An Intelligent Timetable Generator Using Cloud and IOT Technology: TIMELY TRIGGER. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), h605-h612. https://ijnrd.org/papers/IJNRD2404763.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : h605-h612
Other Publication Details
Paper Reg. ID: IJNRD_219510
Published Paper Id: IJNRD2404763
Research Area: Computer Science & Technologyรย
Author Type: Indian Author
Country: Indore, Madhya Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404763.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404763
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