Personalized workout planner

Wong, Cornelius Qin Jun (2025) Personalized workout planner. Final Year Project, UTAR.

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Abstract

In modern times, people often neglect exercise due to busy schedules and reliance on conveniences like advanced transportation, leading to decreased physical activity. Additionally, the effectiveness of workouts is a major concern, as not all routines suit everyone. A personalized workout planner is essential to recommend effective exercise plans based on factors like height, weight, gender, level of activity, and specific goals. However, traditional workout plans may not adapt to injury or difficulties encountered by the user, which can lead to further complications or reduced progress. To address these issues, this project proposes the development of a Personalized Workout Planner mobile application that incorporates injury and failure adjustment features. This app aims to provide users with adaptable workout routines, ensuring safety and efficiency even in cases of injury or when the user struggles with certain exercises. The proposal outlines the project’s background, objectives, existing systems, and the proposed method and system to offer an effective, customized fitness solution. The final product of the project is the combination of FastAPI backend, Google Cloud Platform, Supabase and an React native mobile application with the ability to recommend workouts, fetch workouts, update profile for recommendation needs, feedback for 4 type of uncertainty cases and link with Google Calendar for free slot schedules.

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