Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2623
Title: ScheduleME - Smart Digital Personal Assistant for Automatic Priority Based Task Scheduling and Time Management
Authors: Liyanage, A. N
Madhushanka D, A.G. A
Uduwara L, U.M.
Jayarathne, W. M. S. D
Siriwardana, S
Mithsara M, W. K
Keywords: ScheduleME
Digital Personal Assistant
Automatic Priority
Priority Based
Task Scheduling
Time Management
Issue Date: 1-Oct-2021
Publisher: IEEE
Citation: L. A.N et al., "ScheduleME - Smart Digital Personal Assistant for Automatic Priority Based Task Scheduling and Time Management," 2021 2nd Global Conference for Advancement in Technology (GCAT), 2021, pp. 1-6, doi: 10.1109/GCAT52182.2021.9587876.
Series/Report no.: 2021 2nd Global Conference for Advancement in Technology (GCAT);
Abstract: At present, it has become challenging for university students to manage their workload such assignments, projects etc. among their day-to-day tasks and personal chores. It has become hard to spend time efficiently on tasks that should be prioritized, and to decide what the best way to spend their remaining time is. Even though integration methods and multi-functional Time Management Tools (TMTs) such as Trello and Asana exist, finding, following, and implementing them is time consuming and monotonous. ScheduleME is a smart digital personal assistant, which will be in a form of a mobile app that collects and stores all the tasks the student must do, prioritize them according to their importance, schedule them intelligently across the student’s remaining time considering his/her existing academic and personal timetables and daily routines. A user-friendly and comprehensible mobile app is designed where the right amount of information is presented to the user without important details that user could conFigure and override and not show too much information such that the user becomes overwhelmed. This overcomes the weakness found in many time-management and to do list apps. (e.g. - Trello, Microsoft Tasks, Todoist) where the user must enter all the details of the tasks manually and set the priority manually. The main emphasis of our suggested system is four primary components. They are Data engineering, Intelligent task breakdown and scheduling, Personalized task scheduling and User-centered interaction design. Aside from that, this system employs a variety of technologies and algorithms to improve the research’s accuracy and efficiency.
URI: http://rda.sliit.lk/handle/123456789/2623
ISBN: 978-1-6654-1836-2
Appears in Collections:Department of Information Technology-Scopes
Research Papers - IEEE
Research Publications -Dept of Information Technology



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