Predictive Guardians: An AI-driven crime prevention solution utilizing advanced analytics, machine learning, and optimization. Uncover crime patterns, profile offenders, forecast trends, and allocate resources optimally. Empower agencies with actionable insights to proactively build safer communities. 🚔💻🌍

Exploratory Data Analysis of Los Angeles Crime Data (2020–Present) using Python, Pandas, Seaborn, and Machine Learning

To examine, interpret and analyze the details and evidence you want from crime files

Final Project for a computer Science course.

Pennsylvania Docket Search Tool

This project focuses on analyzing and predicting crimes against women using data mining techniques. It leverages machine learning models to predict future trends in crime rates and provides a user-friendly Streamlit application for visualization and analysis.

A Study of Lightweight Approaches to Analyze Crime Conditions in India 2001-2019

Greg and Jason's senior project repo.

Processes raw data from the FBI Crime Data Explorer (CDE), preparing it for analysis in interactive dashboards. Click on my link below to see metrics and trends for crimes such as Human Trafficking and Cargo Theft.

Interactive web application map that allows users to see visual data representation of crimes committed in Costa Rica by district since COVID

A map of cycle thefts from police.uk data.

The application lets you analyze and study the Police Killings that happened over the years in the US. The Application gives visual representation of the comparisons on the basis of Race, Age, Time and Date, and type of death, in the form of Frequency graphs, Bar charts, histograms and Pie. It also conducts statistical analysis such as Mean, Med…

Simple and powerful Python client for Federal Bureau of Investigation (FBI) crime data API of the United States 🇺🇸.

Python module for searching common interests in suspects lists

Examples of crime analysis using publicly available incident data

atlanta's statistical crime analysis

A console based projects in which the camera detects the face of a criminal and updates the location of the criminal to a realtime database to alert the officers in the control room . STACK USED - Python , OpenCv , Firebase

Crime Analysis and Prediction Based on Machine Learning Algorithms

Using the Apriori Algorithm to analyze different types of crime in NYC boroughs

Rakshekanetra is a Streamlit-based smart policing and crime analytics dashboard built for the Karnataka Police. It integrates real-time data visualization, Google Maps API, and machine learning to support crime prediction, hotspot detection, and actionable insights for law enforcement. Built during a hackathon.