Model fishing activity patterns based on weather information through machine learning algorithms to help devising optimal ocean patrolling routes.

This project focuses on detecting and predicting illegal fishing activities by analyzing transshipment events, vessel encounters, and loitering behaviors within maritime boundaries. Through exploratory data analysis and machine learning, the project uncovers the primary actors, identifies hotspots, and forecasts vessel movements to aid enforcement.

A cloud based Illegal Fishing and Maritime Violations capture mobile application

A cloud based Vessel Reporting and Tracking System