Face recognition software to detect criminals in images and videos, noting their time of occurences.

Real Time Detection of Anomalous Activity From Videos (mainly crime actvity). Images of the video is trained using AutoEncoder to get the imtermediate feature representation of image & applied svm model for the bag of such features to detect the anomaly & LSTM to detect the type of Anomaly.

A crime detection and campus management system that helps in the detection, classification and subsequent mitigation of crimes occurring in a region of surveillance.

This project aims to perform topic modeling on a dataset of crime-related news articles in New York City using **Latent Dirichlet Allocation (LDA) and Mallet's LDA Model. The articles were collected over a two-month period through continuous querying using the News API.

Design and Implementation of Crime Report Management System

This project aims to perform topic modeling on a dataset of crime-related news articles in New York City using **Latent Dirichlet Allocation (LDA) and Mallet's LDA Model. The articles were collected over a two-month period through continuous querying using the News API.