An AI Based Crime Analyzer

PROJECT SUPERVISOR DR WASI HAIDER PROJECT CO-SUPERVISOR . DR. ALI HASSAN, GC IRFAN HAIDER PC SHER ISLAM NC QAISER ALI NC HAD-UR-REHMAN

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dc.contributor.author	PROJECT SUPERVISOR DR WASI HAIDER PROJECT CO-SUPERVISOR . DR. ALI HASSAN, GC IRFAN HAIDER PC SHER ISLAM NC QAISER ALI NC HAD-UR-REHMAN
dc.date.accessioned	2025-03-12T06:31:10Z
dc.date.available	2025-03-12T06:31:10Z
dc.date.issued	2020
dc.identifier.other	DE-COMP-38
dc.identifier.uri	http://10.250.8.41:8080/xmlui/handle/123456789/50915
dc.description	PROJECT SUPERVISOR DR WASI HAIDER PROJECT CO-SUPERVISOR . DR. ALI HASSAN	en_US
dc.description.abstract	Our Country Pakistan has a very high crime rate and every day it is increasing. Digital advancement in the field of Computer can help to slow down this rate. Unavailability and no access to high quality structured crimes data in our country restricts researchers from applying useful data analytics for assisting law enforcement agencies in crime prevention is the problem we are solving in our final year project. PredPol software and data mining firm Palantir are currently working on it. We will solve it by taking crime data from online newspapers and then process that to make that structural using techniques from natural language processing (NTLK and spaCy libraries in Python). After getting structured crime data, we will apply different techniques of data analytics to visually see ratios of different types of crimes happening in different cities of the country.	en_US
dc.language.iso	en	en_US
dc.publisher	College of Electrical & Mechanical Engineering (CEME), NUST	en_US
dc.subject	Named Entity Recognition, Spacy, Beautiful Soup ,Natural Language Processing, SVM	en_US
dc.title	An AI Based Crime Analyzer	en_US
dc.type	Project Report	en_US