Development of a prediction system to enhance fishing activities

Abstract

The support to enhance the performance of fishing activities against the struggle to fight effectively the illegal fishing is a paramount to happy and successful life between fishermen and the government. Therefore, this project was aimed at designing and developing a prediction application to ease the fishing activities works of the concerned people. Our project aims is the tracking, monitor, and prediction of fishing activities to prevent different fraudulent actions by exploring and interpreting the collected fishing data. Requirement gathering was achieved through the existing literature [Articles/Journals/research works] based on pre-established guiding questions designed by the project team members in order to attain those specific user problems that needed to be addressed. The analysis process was implemented using machine learning algorithms for prediction. The report of this project talked about the existing problem and proposed architecture of different research. We, then analyze their usability in tackling the issues that we are facing.