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Predictive location generation using machine learning approach

bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorChakrabarty, Dr. Amitabha
dc.contributor.authorHasan, S.A.M Khaled
dc.contributor.authorNahian, Shariar Al
dc.contributor.authorIslam, Sakibul
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2018-01-11T05:08:54Z
dc.date.available2018-01-11T05:08:54Z
dc.date.copyright2017
dc.date.issued8/21/2017
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 54).
dc.descriptionThis thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.en_US
dc.description.abstractPredicting future locations by analyzing past data is not new. Giants like Google, Yahoo or Amazon all use their own machine learning algorithms to generate it but these companies use the data for business purposes as a result our personal and valuable data get sacrificed for their sake. In our project, Predictive Location Generation Using Machine learning, we have developed a mobile application which can automatically locate present position of users using GPS and then based on these collected data it can generate meaningful predictive future locations using machine learning algorithm. The application then trades these generated locations to extract information (such as traffic updates, crime report of certain regions, addresses of important places, product offers and so on) from third party servers using Internet but the key part of this procedure would be not to disclose the user’s identity to the third party.en_US
dc.description.degreeBachelor of Science in Computer Science and Engineering
dc.description.statementofresponsibilityS.A.M Khaled Hasan
dc.description.statementofresponsibilityShariar Al Nahian
dc.description.statementofresponsibilitySakibul Islam
dc.format.extent54 pages
dc.identifier.otherID 14201012
dc.identifier.otherID 13301036
dc.identifier.otherID 13101181
dc.identifier.urihttp://hdl.handle.net/10361/9018
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectGPSen_US
dc.subjectMachine learningen_US
dc.subjectLocation generationen_US
dc.titlePredictive location generation using machine learning approachen_US
dc.typeThesisen_US

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