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    •   BracU IR
    • School of Data and Sciences (SDS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Investigation assistant with suspect anticipating intelligence

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    18241029, 15301080, 14101130, 15201029_CSE.pdf (1.204Mb)
    Date
    2019-08
    Publisher
    Brac University
    Author
    Abdullah, Saqueeb
    Nibir, Farah Idid
    Salam, Suraiya
    Dey, Akash
    Metadata
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    URI
    http://hdl.handle.net/10361/12779
    Abstract
    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.
    Keywords
    Computerized system; Machine learning; Track violations; Suspect prediction; Criminal Prediction
     
    LC Subject Headings
    Machine learning; Artificial intelligence
     
    Description
    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).
    Department
    Department of Computer Science and Engineering, Brac University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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