Investigation assistant with suspect anticipating intelligence
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.
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10361-127792022-01-26T10:13:21Z Investigation assistant with suspect anticipating intelligence Abdullah, Saqueeb Nibir, Farah Idid Salam, Suraiya Dey, Akash Alam, Md. Ashraful Department of Computer Science and Engineering, Brac University Computerized system Machine learning Track violations Suspect prediction Criminal Prediction Machine learning Artificial intelligence This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019. Cataloged from PDF version of thesis. Includes bibliographical references (pages 52-54). Truly settling crimes have been the privilege of the criminal justice and law enforcement specialists. With the expansion of the utilization of the computerized system to track violations and follow culprits, computer application can be an incredible path for helping the law enforcement officers and analysts to accelerate the way toward fathoming crimes. Criminology is a procedure that is utilized to recognize crime and criminal qualities. The lawbreakers and the crime event probability can be surveyed with the assistance of criminology systems. The criminology helps the police division, the analyst offices and crime branches in distinguishing the genuine attributes of a criminal. The criminology division has been utilized in the procedures of crime detection as far back as 1800. Crimes are a social aggravation and create a reasonable doubt among general people in a few different ways. For quicker explanation of violations, we have chosen to build up a framework called "Investigation Assistant with Suspect Anticipating Intelligence". This system keeps information related to crime situation such as place, method, gender and so on. The principal task of the proposed model is to analyze all the information and provide a short overview of the criminal’s characteristics. The main objective is to discover and anticipate the plausible suspect for the unsolved cases from the criminal records present at the database in the system. Thus, we are attempting to focus on foreseeing the criminal, by the assistance of how the crime had occurred. Farah Idid Nibir Saqueeb Abdullah Akash Dey Suraiya Salam B. Computer Science 2019-10-13T05:34:59Z 2019-10-13T05:34:59Z 2019 2019-08 Thesis ID 18241029 ID 15301080 ID 14101130 ID 15201029 http://hdl.handle.net/10361/12779 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 |
collection |
Institutional Repository |
language |
English |
topic |
Computerized system Machine learning Track violations Suspect prediction Criminal Prediction Machine learning Artificial intelligence |
spellingShingle |
Computerized system Machine learning Track violations Suspect prediction Criminal Prediction Machine learning Artificial intelligence Abdullah, Saqueeb Nibir, Farah Idid Salam, Suraiya Dey, Akash Investigation assistant with suspect anticipating intelligence |
description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019. |
author2 |
Alam, Md. Ashraful |
author_facet |
Alam, Md. Ashraful Abdullah, Saqueeb Nibir, Farah Idid Salam, Suraiya Dey, Akash |
format |
Thesis |
author |
Abdullah, Saqueeb Nibir, Farah Idid Salam, Suraiya Dey, Akash |
author_sort |
Abdullah, Saqueeb |
title |
Investigation assistant with suspect anticipating intelligence |
title_short |
Investigation assistant with suspect anticipating intelligence |
title_full |
Investigation assistant with suspect anticipating intelligence |
title_fullStr |
Investigation assistant with suspect anticipating intelligence |
title_full_unstemmed |
Investigation assistant with suspect anticipating intelligence |
title_sort |
investigation assistant with suspect anticipating intelligence |
publisher |
Brac University |
publishDate |
2019 |
url |
http://hdl.handle.net/10361/12779 |
work_keys_str_mv |
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1814308221272195072 |