KaiOS Application For Listening Podcasts

Arro, Fredi

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