Fire and Gun detection using yolov3 in videos as well as images. Training code, dataset and trained weight file available.

classify crime into different categories using PySpark

Developing a system that could classify crime descriptions into different categories which would help the authorities to assign officers to crimes based on the report.

It is a machine learning project where we need to predict crimes happening in sanfrancisco city.Zip includes project report along with various tested models.

The Crime Classification Project implements machine learning models to classify crimes into six categories: Murder, Rape, Assault, Body Found, Kidnap, and Robbery. It features an interactive Streamlit dashboard for data visualization and a Flask web application for real-time predictions. Built with XGBoost and AdaBoost classifiers.