Please use this identifier to cite or link to this item: https://publication.npru.ac.th/jspui/handle/123456789/2258
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dc.contributor.authorChiabhakdee, Sarachaya-
dc.date.accessioned2024-08-25T16:16:24Z-
dc.date.available2024-08-25T16:16:24Z-
dc.date.issued2024-08-13-
dc.identifier.isbn978-974-7063-46-2-
dc.identifier.urihttps://publication.npru.ac.th/jspui/handle/123456789/2258-
dc.description.abstractThe objective of the research is to design and develop a competitive scoring system for the Mahidol AI Hackathon 2024 project under the topic “Large Language Models for Health Care and Hospital Services” (Innovative Uses of LLMs in Enhancing Health Care and Hospital Services) organized by Faculty of Information and Communication Technology (ICT), Mahidol University It is a real-time scoring system, that is, during the period when the judges are deciding the scores. The results of the score will change all the time. The system will process the total score. and display the summary scores as well as ranking the teams in order from the highest score to the lowest score The scoring results are disclosed to all project participants for public viewing. To ensure transparency and fairness In designing and developing the system, Google Sheet has been used, which is a tool that works through a Web browser to work online and is safe in accessing data. and can link data to be processed correctly By creating a data table prepared for directors who have access to record scores. The design and development of the system uses the principles of the System Development Life Cycle (SDLC) to be integrated with the PDCA Process to develop the system to be efficient. with a period of operation Between January 2024 and March 2024 (starting with studying the tools that will be used Design and develop systems Perform system testing and put it into practice) The results of the research found that Such a rating system can work very well. Scores are processed that respond to changes all the time. Total scores are summed up with 100% accuracy and the teams with the highest scores to the lowest scores are ranked with 100% accuracy.en_US
dc.publisherThe 16th NPRU National Academic Conference Nakhon Pathom Rajabhat Universityen_US
dc.relation.ispartofseriesProceedings of the 16th NPRU National Academic Conference;1681-
dc.subjectScoring systemen_US
dc.subjectCompetition projecten_US
dc.subjectHackathonen_US
dc.titleMahidol AI Hackathon Competition Project Scoring Systemen_US
dc.title.alternativeระบบการให้คะแนนโครงการการแข่งขัน Mahidol AI Hackathonen_US
dc.typeOtheren_US
Appears in Collections:Proceedings of the 16th NPRU National Academic Conference

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