Call for Papers:Vol.10 Issue.6

Submission
Last date		 30-Dec-2024
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-10,Issue-6. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Crime Prediction Using Machine Learning
PaperId: :  16886
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 3 2022
DUI:    16.0415/IJARIIE-16886
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Nikhil Kashinath NawaleSapkal College of Engineering
Harshal Ananda MoreSapkal College of Engineering
Prashant Chhotulal PatilSapkal College of Engineering

Abstract

Computer Engineering
Stock Prediction, Data Analysis, Natural Language Processing, Machine Learning.
Crime is one of the biggest and dominating problem in our society and its prevention is an important. task. Daily there are huge numbers of crimes committed frequently. This require keeping track of all the crimes and maintaining a database for same which may be used for future reference. The current problem faced are maintaining of proper dataset of crime and analyzing this data to help in predicting and solving crimes in future. The objective of this project is to analyze dataset which consist of numerous crimes and predicting the type of crime which may happen in future depending upon various conditions. In this project, we will be using the technique of machine learning and data science for crime prediction of Chicago crime data set. The crime data is extracted from the official portal of Chicago police. It consists of crime information like location description, type of crime, date, time, latitude, longitude. Before training of the model data preprocessing will be done following this feature selection and scaling will be done so that accuracy obtain will be high. The K-Nearest Neighbor (KNN) classification and various other algorithms will be tested for crime prediction and one with better accuracy will be used for training. Visualization of dataset will be done in terms of graphical representation of many cases for example at which time the criminal rates are high or at which month the criminal activities are high. The soul purpose of this project is to give a jest idea of how machine learning can be used by the law enforcement agencies to detect, predict and solve crimes at a much faster rate and thus reduces the crime rate. It not restricted to Chicago, this can be used in other states or countries depending upon the availability of the dataset.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Nikhil Kashinath Nawale, Harshal Ananda More, and Prashant Chhotulal Patil. "Crime Prediction Using Machine Learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 3 2022 Page 1899-1902
MLA Nikhil Kashinath Nawale, Harshal Ananda More, and Prashant Chhotulal Patil. "Crime Prediction Using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education 8.3(2022) : 1899-1902.
APA Nikhil Kashinath Nawale, Harshal Ananda More, & Prashant Chhotulal Patil. (2022). Crime Prediction Using Machine Learning. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 1899-1902.
Chicago Nikhil Kashinath Nawale, Harshal Ananda More, and Prashant Chhotulal Patil. "Crime Prediction Using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 3 (2022) : 1899-1902.
Oxford Nikhil Kashinath Nawale, Harshal Ananda More, and Prashant Chhotulal Patil. 'Crime Prediction Using Machine Learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, 2022, p. 1899-1902. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Crime_Prediction_ijariie16886.pdf (Accessed : 31 May 2022).
Harvard Nikhil Kashinath Nawale, Harshal Ananda More, and Prashant Chhotulal Patil. (2022) 'Crime Prediction Using Machine Learning', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 1899-1902IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Crime_Prediction_ijariie16886.pdf (Accessed : 31 May 2022)
IEEE Nikhil Kashinath Nawale, Harshal Ananda More, and Prashant Chhotulal Patil, "Crime Prediction Using Machine Learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, pp. 1899-1902, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/Crime_Prediction_ijariie16886.pdf [Accessed : 31 May 2022].
Turabian Nikhil Kashinath Nawale, Harshal Ananda More, and Prashant Chhotulal Patil. "Crime Prediction Using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 3 (31 May 2022).
Vancouver Nikhil Kashinath Nawale, Harshal Ananda More, and Prashant Chhotulal Patil. Crime Prediction Using Machine Learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : 31 May 2022]; 8(3) : 1899-1902. Available from: https://ijariie.com/AdminUploadPdf/Crime_Prediction_ijariie16886.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 5/31/2022 5:05:59 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
A Review on Ad Makers- Creation & Design Advertising CampaignsComputer EngineeringSwapnil Ohol1 Download
DETECTING FACIAL FORGERIES USING NOVEL FREQUENCY CONVOLUTIONAL NEURAL NETWORKComputer ScienceChikati Madhava Rao Download
Detecting Diabetes Early and Classifying Risk with Interpretable Deep Learning ModelsComputer ScienceMohmad Ahmed Ali Download
Enhance Accuracy of Medical Disease Prediction Using Machine Learning TechniquesMachine LearningSandeep Singh Sikarwar Download
Transformer-based Generative Adversarial Network (GAN) hybrid model for sentiment analysisInformation Technologyhridesh kumar Download
A Step Ahead in Operational Resilience - Integrating Observability with DevOpsComputer EngineeringAmit Sengupta Download
The Influence of Artificial Intelligence and Human-Computer Interaction on Enhancing Children's Learning ExperiencesComputer Engineering,Supriya S Kendhuli Download
Medicinal Plants Identification Using Deep LearningComputer Engineering Rohan Kumar Verma Download
“How to balance automation and ethics when rolling out AI automation in an Educational Framework”Computer SciecneSudhakar mishra Download
Microservices Fault Tolerance PatternsComputer EngineeringAmit Sengupta Download
Forecasting and Categorization of Cardiac Arrhythmia using Soft Computational ApproachesComputer Science and EngineeringDr. Sivaprakash. C Download
Enhancing CybersecurityComputer EngineeringG Tarun Download
Microservices Design PatternsComputer EngineeringAmit Sengupta Download
The Novel Approach to Detect Kidney Stones Using Deep Learning and Convolutional Neural NetworksCSEN Manjunatha Download
An investigation into the use of deep learning and image processing in the domain of diabetic medical careCSEHR Ravikumar Download
12