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dc.contributor.advisorAlam, Md. Ashraful
dc.contributor.authorAbdullah, Saqueeb
dc.contributor.authorNibir, Farah Idid
dc.contributor.authorSalam, Suraiya
dc.contributor.authorDey, Akash
dc.date.accessioned2019-10-13T05:34:59Z
dc.date.available2019-10-13T05:34:59Z
dc.date.copyright2019
dc.date.issued2019-08
dc.identifier.otherID 18241029
dc.identifier.otherID 15301080
dc.identifier.otherID 14101130
dc.identifier.otherID 15201029
dc.identifier.urihttp://hdl.handle.net/10361/12779
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 52-54).
dc.description.abstractTruly 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.en_US
dc.description.statementofresponsibilityFarah Idid Nibir
dc.description.statementofresponsibilitySaqueeb Abdullah
dc.description.statementofresponsibilityAkash Dey
dc.description.statementofresponsibilitySuraiya Salam
dc.format.extent54 pages
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.subjectComputerized systemen_US
dc.subjectMachine learningen_US
dc.subjectTrack violationsen_US
dc.subjectSuspect predictionen_US
dc.subjectCriminal Predictionen_US
dc.subject.lcshMachine learning
dc.subject.lcshArtificial intelligence
dc.titleInvestigation assistant with suspect anticipating intelligenceen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, Brac University
dc.description.degreeB. Computer Science


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