Auto-formation group chat for fitness application with rule-based / Amar Aslam Ramli

People with an establish behavior were actively seeking ways to maintain and increase their fitness behavior which led many individuals need an advice on exercise from personal trainer. However, they actually do not know where to find the nearest trainer especially at the uncommon areas. Therefore,...

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Bibliographic Details
Main Author:	Ramli, Amar Aslam
Format:	Student Project
Language:	English
Published:	Faculty of Computer and Mathematical Sciences 2018
Subjects:	Programming. Rule-based programming. Backtrack programming Application software Android Algorithms
Online Access:	http://ir.uitm.edu.my/id/eprint/21346/ http://ir.uitm.edu.my/id/eprint/21346/1/TD_AMAR%20ASLAM%20RAMLI%20M%20CS%2018_5.pdf

id	uitm-21346
recordtype	eprints
spelling	uitm-213462018-10-24T04:22:34Z http://ir.uitm.edu.my/id/eprint/21346/ Auto-formation group chat for fitness application with rule-based / Amar Aslam Ramli Ramli, Amar Aslam Programming. Rule-based programming. Backtrack programming Application software Android Algorithms People with an establish behavior were actively seeking ways to maintain and increase their fitness behavior which led many individuals need an advice on exercise from personal trainer. However, they actually do not know where to find the nearest trainer especially at the uncommon areas. Therefore, by the aim of this project is to facilitate and solve the problem by developed FitwithTrainer android application with auto-formation group chat for clients and trainers along with rule-based expert system for classification of trainer in term of trainer’s levels and specialties in website system. Moreover, the algorithm used for rule-based expert system is forward chaining method. As this project’s aim to develop android mobile application system, there are three important modules such as developed GPS system which used Google Maps API as location based for detection of online users. Next, developed an auto-formation group chatting where to create online group chat for nearby users and last but not least create an instant messaging for private chatting between users. Thus, some phases of SDLC were used and the chosen phases such as requirement analysis, design, development, evaluating and documentation. This project are focuses on the FitwithTrainer android application with auto-formation group chatting as it is use geofencing technique in GPS to detect the nearest users. Then, for the appropriate testing for this project is the effectiveness testing which it has been done in order to test the system effectively for users and the major part are the accuracy of geofencing technique. Based on the testing result, it can be conclude that this project has successfully developed FitwithTrainer website and android mobile application system. For future recommendation works, this project can be extended further by applying the geolocation technique to detect the accurate location of the users in order to find nearest clients and trainers. Lastly, added some features such as include the registration in the android mobile application system as ease users to register instead of register in the website system. Faculty of Computer and Mathematical Sciences 2018 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/21346/1/TD_AMAR%20ASLAM%20RAMLI%20M%20CS%2018_5.pdf Ramli, Amar Aslam (2018) Auto-formation group chat for fitness application with rule-based / Amar Aslam Ramli. [Student Project] (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Programming. Rule-based programming. Backtrack programming Application software Android Algorithms
spellingShingle	Programming. Rule-based programming. Backtrack programming Application software Android Algorithms Ramli, Amar Aslam Auto-formation group chat for fitness application with rule-based / Amar Aslam Ramli
description	People with an establish behavior were actively seeking ways to maintain and increase their fitness behavior which led many individuals need an advice on exercise from personal trainer. However, they actually do not know where to find the nearest trainer especially at the uncommon areas. Therefore, by the aim of this project is to facilitate and solve the problem by developed FitwithTrainer android application with auto-formation group chat for clients and trainers along with rule-based expert system for classification of trainer in term of trainer’s levels and specialties in website system. Moreover, the algorithm used for rule-based expert system is forward chaining method. As this project’s aim to develop android mobile application system, there are three important modules such as developed GPS system which used Google Maps API as location based for detection of online users. Next, developed an auto-formation group chatting where to create online group chat for nearby users and last but not least create an instant messaging for private chatting between users. Thus, some phases of SDLC were used and the chosen phases such as requirement analysis, design, development, evaluating and documentation. This project are focuses on the FitwithTrainer android application with auto-formation group chatting as it is use geofencing technique in GPS to detect the nearest users. Then, for the appropriate testing for this project is the effectiveness testing which it has been done in order to test the system effectively for users and the major part are the accuracy of geofencing technique. Based on the testing result, it can be conclude that this project has successfully developed FitwithTrainer website and android mobile application system. For future recommendation works, this project can be extended further by applying the geolocation technique to detect the accurate location of the users in order to find nearest clients and trainers. Lastly, added some features such as include the registration in the android mobile application system as ease users to register instead of register in the website system.
format	Student Project
author	Ramli, Amar Aslam
author_facet	Ramli, Amar Aslam
author_sort	Ramli, Amar Aslam
title	Auto-formation group chat for fitness application with rule-based / Amar Aslam Ramli
title_short	Auto-formation group chat for fitness application with rule-based / Amar Aslam Ramli
title_full	Auto-formation group chat for fitness application with rule-based / Amar Aslam Ramli
title_fullStr	Auto-formation group chat for fitness application with rule-based / Amar Aslam Ramli
title_full_unstemmed	Auto-formation group chat for fitness application with rule-based / Amar Aslam Ramli
title_sort	auto-formation group chat for fitness application with rule-based / amar aslam ramli
publisher	Faculty of Computer and Mathematical Sciences
publishDate	2018
url	http://ir.uitm.edu.my/id/eprint/21346/ http://ir.uitm.edu.my/id/eprint/21346/1/TD_AMAR%20ASLAM%20RAMLI%20M%20CS%2018_5.pdf
first_indexed	2023-09-18T23:06:22Z
last_indexed	2023-09-18T23:06:22Z
_version_	1777418509852082176

Auto-formation group chat for fitness application with rule-based / Amar Aslam Ramli

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