KaiOS Application For Listening Podcasts
dc.contributor.advisor | Jaanuska, Ljubov, juhendaja | |
dc.contributor.author | Arro, Fredi | |
dc.contributor.other | Tartu Ülikool. Loodus- ja täppisteaduste valdkond | et |
dc.contributor.other | Tartu Ülikool. Arvutiteaduse instituut | et |
dc.date.accessioned | 2023-11-02T13:31:25Z | |
dc.date.available | 2023-11-02T13:31:25Z | |
dc.date.issued | 2020 | |
dc.description.abstract | The aim of the present thesis was to develop an application for the KaiOS devices for listening podcasts. No convenient alternative application had been created before. In this thesis, the waterfall model was used for the development process. The requirements, design and structure were implemented using HTML, CSS, and jQuery. iTunes Search API was used for searching new podcast. IndexedDB database stored the data about the subscribed podcasts. In the future, it is planned to upload the application into KaiStore and add new features such as push notifications and download episodes. | et |
dc.identifier.uri | https://hdl.handle.net/10062/93984 | |
dc.language.iso | eng | et |
dc.publisher | Tartu Ülikool | et |
dc.rights | openAccess | et |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | KaiOS | et |
dc.subject | HTML | et |
dc.subject | CSS | et |
dc.subject | HTML | et |
dc.subject | CSS | et |
dc.subject | JavaScript | et |
dc.subject | jQuery | et |
dc.subject | IndexedDB | et |
dc.subject | iTunes Search API | et |
dc.subject | web-application | et |
dc.subject | podcast | et |
dc.subject | Waterfall model | et |
dc.subject.other | bakalaureusetööd | et |
dc.subject.other | informaatika | et |
dc.subject.other | infotehnoloogia | et |
dc.subject.other | informatics | et |
dc.subject.other | infotechnology | et |
dc.title | KaiOS Application For Listening Podcasts | et |
dc.type | Thesis | et |
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