Month/Year of Graduation

5-2025

Degree Name

Bachelor of Science (B.S.)

Department

Mathematics

First Advisor

Dr. Fabio Vitor

Abstract

This project aims to develop a mathematical model for generating personalized workout plans tailored to individual fitness goals, preferences, and constraints. By leveraging optimization techniques such as linear programming and genetic algorithms, the model will address key questions, including how to maximize efficiency and consistency in workout plans and which methodologies are best suited for specific fitness objectives. The model involves data collection on user inputs and exercise attributes, defining objective functions for different goals, and integrating constraints like session duration. The implementation will utilize the Python library PuLP to prototype the model, alongside a user-friendly interface for input and output visualization. Validation will be conducted through hypothetical scenarios and feedback from gym-goers, with statistical analysis comparing the model's results to standard fitness plans.

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