Wellfit: a smart fitness companion for personalized wellness

Lee, Lok Yee (2024) Wellfit: a smart fitness companion for personalized wellness. Final Year Project, UTAR.

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Abstract

In the era where fitness is still a popular workout trend, it has become a daily routine for many people. The increasing demand of workout has contributed to the growth of workout gym equipment and an expanding variety of workout solutions. Nevertheless, the current fitness mobile application often lack a truly wide workout variety in the middle of expanding fitness industry and demand as fitness approaches grew. Hence, presenting a mobile fitness application that offer features based on user requirements is very important. This application provides a wide variety of workout solutions that offers clear instructions, provide insightful information on nutritional intakes, progress tracking and workout libraries plan. In addition, the application also incorporates BMI and Calories calculator to assist user in achieving health goals. The application features an AI gym equipment recognition, seeing how crucial user experience is in mitigating user risk and promote awareness of workout varieties by detect gym equipment accurately and provide guidances on how to use the detected gym equipment correctly. In conclusion, this project combines a wide range of features together with AI powered support, thereby increasing user satisfaction and experiences.

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