Chase Wink

Date of Award

2025

Document Type

Thesis

Degree Name

Bachelors

Department

Natural Sciences

First Advisor

Roy, Tania

Area of Concentration

Computer Science

Abstract

Despite being a common activity for both leisure and business, fishing data collection and analysis are still completed inefficiently. Conventional techniques like handwritten notes or dispersed internet resources frequently lead to lost or underutilized data, which hinders researchers' and fishermen's capacity to make informed decisions. This thesis addresses the need for a centralized, interactive fishing dashboard that integrates an interactive map plotter, provides clear visualizations, and aggregates fishing trip data. Having a lifelong love of fishing, this project was created to provide a useful tool that improves fishing experiences and aids in conservation and research. A wide spectrum of users, including marine biologists, environmental conservationists, and recreational and professional fishermen, can track catches and examine fish species’ trends thanks to the dashboard's architecture. The fishing dashboard, which was created with Streamlit, makes use of Folium for interactive mapping and Plotly for visualizations. Pandas are used to manage data processing, and API calls are used to acquire real-time weather information. Users may log fishing data, view important insights, and make data-driven decisions using the system's easily navigable interface. Although it works well as is, it might be improved in the future with user authentication, database integration, and more real-time data sources to increase scalability and functionality. The goal of this dashboard is to help digitize fishing analytics, which encourages sustainable fishing methods and data-driven decision-making.

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