Web-Based Task Organizer for Enhanced Productivity
DOI:
https://doi.org/10.32628/CSEIT241051018Keywords:
Task Management, Web Application, Full Stack Development, Data Security, User InterfaceAbstract
The Web-Based Task Organizer for Enhanced Productivity (WBTO) mainly aims to improve task management and overall increase in productivity. In our system we offer features such as task prioritization, categorization, due dates and recurrence options which is integrated into a user friendly interface. We use a full stack approach using java for the back end logic, JavaScript for a dynamic user interface and a SQL database for preserving data storage. It provides key features like task creation, categorization, prioritization, scheduling and progress tracking and interactive functionalities and ensuring data integrity and privacy. As this not only improves individual productivity but also further provides group work collaboration allowing for much faster task tracking, reminders and analytics which improves overall user experience.
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Shah, F.N.M., Abdullah, Z., Dahlan, A., & Dahlan, N.M.M. (2022). Web-Based Task Management System for Improving Group Work Collaboration. International Journal of Academic Research in Progressive Education and Development, 11(3), 1669–1680. DOI: https://doi.org/10.6007/IJARPED/v11-i3/15188
Kuhail, M. A., & Gurram, N. S. S. (2019). TaskDo: A Daily Task Recommender System. Second International Conference on Computational Intelligence in Data Science (ICCIDS-2019). DOI: https://doi.org/10.1109/ICCIDS.2019.8862073
Naveed Ullah, Rizwan Mehmood, Dr Mahmood, 2020/01/01, +MRT: Centralized Web Based Application for Managing Repetitive Tasks, International Journal of Computer (IJC).
Martinez, R., & Johnson, C. (2020). Gamification in User Experience Design. International Journal of Human-Computer Interaction, 32(1), 245-260.
Liu, Y., & Wang, H. (2018). Multimodal Interaction in Interactive Systems. Journal of Human-Computer Interaction, 38(2), 123-138.
Anderson, S., & Williams, D. (2019). Accessibility in User-Centered Design. International Journal of Human-Computer Interaction, 25(4), 789-804.
B. Nemade, J. Nair, and B. Nemade, "Efficient GDP Growth Forecasting for India through a Novel Modified LSTM Approach," Communications on Applied Nonlinear Analysis, vol. 31, no. 2s, pp. 339-357, 2024. DOI: https://doi.org/10.52783/cana.v31.653
Thompson, J., & Davis, M. (2020). Personalization and User Experience in Interactive Systems. Journal of Human-Computer Interaction, 52(3), 321-336.
Brown, K., & Wilson, M. (2017). User Experience Evaluation Methods. International Journal of Human-Computer Interaction, 14(2), 567-582.
B. Marakarkandy, B. Nemade, S. Kelkar, P. V. Chandrika, V. A. Shirsath, and M. Mali, "Enhancing Multi-Channel Consumer Behavior Analysis: A Data-Driven Approach using the Optimized Apriori Algorithm," Journal of Electrical Systems, vol. 20, no. 2s, pp. 700–708, 2024. DOI: https://doi.org/10.52783/jes.1536
Human-Computer Interaction: Enhancing User Experience in Interactive Systems. Available at: ResearchGate (Accessed October 4, 2024).
Lucija Brezočnik, Črtomir Majer (2016). Comparison of agile methods: Scrum, Kanban, and Scrumban. Proceedings of the 19th International Multiconference Information Society - IS 2016
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