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| 003 | APU | ||
| 005 | 20230626221749.0 | ||
| 008 | 211216b ||||| |||| 00| 0 eng d | ||
| 050 | _aPG-21-0168 | ||
| 100 | 0 |
_aLOKE TIAN FATT (TP042163) _944825 |
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| 245 | 1 | 0 |
_aKICKSTART OF SPORT FREELANCING PLATFORM IN MALAYSIA INTEGRATED WITH AI CHATBOT / _cLOKE TIAN FATT. |
| 260 |
_aKuala Lumpur : _bAsia Pacific University, _c2020. |
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| 300 |
_a404 pages : _billustrations ; _c30 cm. |
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| 502 | _aA project submitted in partial fulfillment of the requirements for the degree of BSc. (Hons) in Software Engineering (UC3F1911SE). | ||
| 520 | _aDespite of any industries, technology experiences rapid growth and the business employment model evolves from time to time in this globalisation era. Generally, the millennials and post-millennials emphasise on job freedom which induces the growth of freelancing business employment model. With the absence of sport freelancing platform around the globe, it is the time to realise and develop this idea with a mobile application, known as “PICK SPort Expert(PICKSPEX)” with the consideration of continuous growth and reliance of mobile technology in the lifestyle of oneself. Consequently, PICKSPEX is developed to tailor the sport related activities with appointment concept while integrating with a Machine Learning Artificial Intelligence chatbot to assist the end users in terms of guidance and rules and regulations of the application. To develop an extensive and scalable application, it encompasses variety of modules such as activity, venue, qualification category, activity assignment and etc. apart from availability, appointment, user, trainer modules. The target mobile devices would be Android operating system mobile devices from Android 6.0 or Marshmallow onwards while the database incorporated is SQL Server in local environment which can be hosted online as the application is truly deployed. | ||
| 650 | 0 |
_aAndroid (Electronic resource). _944826 |
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| 650 | 0 |
_aMobile apps _xDevelopment. |
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| 650 | 0 |
_aMobile computing _xProgramming. |
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| 700 | 0 |
_aMs. Chong Mien May _eSupervisor. _947694 |
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| 856 | 4 | 0 |
_uhttps://cas.apiit.edu.my/cas/login?service=https://library.apu.edu.my/apres/ _yAvailable in APres _z- Requires login to view full text. |
| 942 |
_2lcc _cUndergraduate Theses |
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_c383596 _d383596 |
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