Predictive location generation using machine learning approach
Cataloged from PDF version of thesis report.
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BRAC University
2018
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| Online Access: | http://hdl.handle.net/10361/9018 |
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10361-90182022-01-26T10:10:35Z Predictive location generation using machine learning approach Hasan, S.A.M Khaled Nahian, Shariar Al Islam, Sakibul Chakrabarty, Dr. Amitabha Department of Computer Science and Engineering, BRAC University GPS Machine learning Location generation Cataloged from PDF version of thesis report. Includes bibliographical references (page 54). This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. Predicting 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. S.A.M Khaled Hasan Shariar Al Nahian Sakibul Islam B. Computer Science and Engineering 2018-01-11T05:08:54Z 2018-01-11T05:08:54Z 2017 8/21/2017 Thesis ID 14201012 ID 13301036 ID 13101181 http://hdl.handle.net/10361/9018 en BRAC 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. 54 pages application/pdf BRAC University |
| institution |
Brac University |
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Institutional Repository |
| language |
English |
| topic |
GPS Machine learning Location generation |
| spellingShingle |
GPS Machine learning Location generation Hasan, S.A.M Khaled Nahian, Shariar Al Islam, Sakibul Predictive location generation using machine learning approach |
| description |
Cataloged from PDF version of thesis report. |
| author2 |
Chakrabarty, Dr. Amitabha |
| author_facet |
Chakrabarty, Dr. Amitabha Hasan, S.A.M Khaled Nahian, Shariar Al Islam, Sakibul |
| format |
Thesis |
| author |
Hasan, S.A.M Khaled Nahian, Shariar Al Islam, Sakibul |
| author_sort |
Hasan, S.A.M Khaled |
| title |
Predictive location generation using machine learning approach |
| title_short |
Predictive location generation using machine learning approach |
| title_full |
Predictive location generation using machine learning approach |
| title_fullStr |
Predictive location generation using machine learning approach |
| title_full_unstemmed |
Predictive location generation using machine learning approach |
| title_sort |
predictive location generation using machine learning approach |
| publisher |
BRAC University |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10361/9018 |
| work_keys_str_mv |
AT hasansamkhaled predictivelocationgenerationusingmachinelearningapproach AT nahianshariaral predictivelocationgenerationusingmachinelearningapproach AT islamsakibul predictivelocationgenerationusingmachinelearningapproach |
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1814307911315226624 |