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Smart Task Planner
Zimola, Jan ; Tesařová, Alena (oponent) ; Hynek, Jiří (vedoucí práce)
This thesis aims to create a new planning application that combines various time management techniques. From in-depth research on time management combined with a survey of potential users, diverse techniques emerged that the application needs to provide to satisfy various users' needs. Current applications were insufficient for this purpose. The new implementation mainly combines a todo list and a calendar but also adds support for habits or the Pomodoro technique. On top of it, the user can assign values to projects, labels, or tasks such as priority, deadline, or estimate. These attributes are later used in a machine learning model to score elements, enabling the app to suggest the most relevant tasks to the user. The app was built using the multiplatform framework Flutter and released to App Store and Google Play. Own synchronization mechanism for the app's data is utilized between an Isar database and an Appwrite server. The user-defined events can also be reflected in the user-selected synchronization local calendar.
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