Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/3324
Title: SMART DIARY: Autonomous System for Daily Diary Creation and Prioritization of Daily Activities for Improved Well-Being Using Neural Networks and Machine Learning
Authors: Abraar, S.F.M.
Thuduhenage, D.T.
Balasubramaniyam, V.P.
Mohanraj, S.R.
Wimalaratne, G
Rajapaksha, S
Keywords: SMART DIARY
Autonomous System
Daily Diary Creation
Prioritization
Daily Activities
Improved Well-Being
Neural Networks
Machine Learning
Issue Date: 9-Dec-2022
Publisher: IEEE
Citation: S. F. M. Abraar, D. T. Thuduhenage, V. P. Balasubramaniyam, S. R. Mohanraj, G. Wimalaratne and S. Rajapaksha, "SMART DIARY: Autonomous System for Daily Diary Creation and Prioritization of Daily Activities for Improved Well-Being Using Neural Networks and Machine Learning," 2022 4th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 2022, pp. 78-83, doi: 10.1109/ICAC57685.2022.10025129.
Series/Report no.: 2022 4th International Conference on Advancements in Computing (ICAC);
Abstract: In the present world, the IT (Information Technology) industry is so advanced that it has opened many opportunities to communities with numerous roles. Even though the industry is growing day by day and providing more opportunities, it has had serious effects on human well-being. If a person fails to control the demands of work or study, such as tasks with higher complexity, an unmanageable workload, pressure, enduring conflicts within the team, and other physical and emotional demands, it could lead that person to exhaustion, anxiety, and stress. Such factors can affect the health of a person in an extremely negative way. The proposed topic “Smart Diary: Auto generation of diary and Prioritization of Daily Activities for Improved Well-Being” is a solution for people with uncontrolled job demands and busy work schedules. This helps to keep track of day-to-day life activities and review them to make better plans for the future. It also helps the user prioritize their daily tasks and provides suggestions for people who are stressed and showcasing negative emotions based on text analysis.
URI: https://rda.sliit.lk/handle/123456789/3324
ISBN: 979-8-3503-9809-0
Appears in Collections:4th International Conference on Advancements in Computing (ICAC) | 2022
Department of Information Technology
Research Papers - Dept of Computer Science and Software Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications



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