There are 16 repositories under crime-prediction topic.
Crime detection in cctv footage using deep learning
Crime classification, analysis & prediction in Indore city
đźš“ Crime dataset for the City of Buenos Aires, Argentina
Lectures on "crime and political corruption analysis using data mining, machine learning and complex networks" at the School of Applied Mathematics in the Institute of Mathematics and Computer Science at University of SĂŁo Paulo
A Django Based Crime Visualization and ML Application
Research Project I completed under Dr Vinti Agrawal at BITS Pilani.
crime prediction project with code and documents
Multi-class classification model for predicting the types of crimes in Toronto
This AI tool depend deep learning to predict when and where a crime event could happen in Toronto area. It could be applied on any other city. The frontend code is based on ReactJS and the backed code is based on python 3.
One stop download for year wise crime statistics in India.
Heterogeneous clustering and cross-modal evaluation metrics for crime prediction
This Problem Data set of San Francisco Contains information about the crime in San Francisco, We are going to analyze the data, Visualize the data using folium maps for geographical understanding. In other words It is called Geo spatial Mapping. This Problem is the final assignment for Coursera and IBM's Data Visualization Course.
Analyzing and forecasting crime in Mexico (Project done as part of a course at UChicago - Winter 2017)
This repository contains the script and figures of the conference paper selected for presentation at the Latin American Conference of Computationa Intelligence 2018. The abstract of the paper is as follows: Crime is an important social and economic problem of South Africa. Though certain categories of crimes are of serious proportions, yet on aggregate the overall crime situation in the country has considerably improved in the last decade or so. A number of previous studies across other countries have shown a positive or negative relationship between crime and economic growth. On a microeconomic/provincial scale, this paper studies the relationship between various categories of crimes and economic growth using the non-linear modeling technique of Generalized Additive Models. Such a modeling approach helps in understanding how various categories of crimes complexly affect GDP.
This repository contains jupyter notebook implementation for crime type prediction on the basis of spatial and temporal data available.
Crime Dashboard for India
This repo has Dark Web spiders. The project was part of a larger project involving future crime prediction and analysis for the Madhya Pradesh Police Department.
Crime and Criminal Analysis System integrating geospatial, temporal, and demographic analytics for predictive modeling of criminal activities. It employs machine learning for optimizing police resource allocation and incorporates real-time social media scraping for proactive crime detection.
streetcrime: a python ABM package for urban crime
A BFO and CCO conformant ontology of criminal acts
A web-based tool that predicts crimes based on heterogeneous spatial patterns
Contrary to the general belief that crimes happen at night or dark, in the nations capital most offenses or crimes happen during the evening.The Lab @ DC Consulting Project
A project that aims to estimate the correlation between Guadalajara's crimes and its public bike system. Done as part of the Saturdays.AI program in its Guadalajara 2nd edition.
[TSAS 2023] AIST: An Interpretable Attention-based Deep Learning Model for Crime Prediction.
CrimeEye is a web application that enables users to view and report crime incidents in real-time.
Crime prediction project. I am here to reduce the amount of crime in the world
Analysis of Los Angeles Crimes 2010-19
Crime Prediction System Using Machine Learning Project with source code and documents plus youtube explanation
Street Crime Analysis Year 2021