Alam, Md. AshrafulAbdullah, SaqueebNibir, Farah IdidSalam, SuraiyaDey, Akash2019-10-132019-10-1320192019-08ID 18241029ID 15301080ID 14101130ID 15201029http://hdl.handle.net/10361/12779Cataloged from PDF version of thesis.Includes bibliographical references (pages 52-54).This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.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.54 pagesenBrac 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.Computerized systemMachine learningTrack violationsSuspect predictionCriminal PredictionMachine learningArtificial intelligenceThesis