A nutrition optimization application for McDonald’s meal plans using Python, user-specific data (age, weight, activity), and key libraries/tools such as pandas, NumPy, Google OR-Tools, and Tkinter, enhancing meal preferences based on personalized health metrics.
A project for the Advanced Programming course, the Spring 2022 semester.
Building an application for designing McDonald’s meal plans by optimizing nutrition (e.g calories, sodium, sugar) based on user profiles (age, weight, height, activity), their preference for each meal using Python (pandas, NumPy, Google OR-Tools, matplotlib, ttk bootstrap, Tkinter, PIL) and integer programming
A nutrition optimization application for McDonald’s meal plans using Python, user-specific data (age, weight, activity), and key libraries/tools such as pandas, NumPy, Google OR-Tools, and Tkinter, enhancing meal preferences based on personalized health metrics.