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A Fitness Workout Plan and Meal Plan Recommendation System Using Machine Learning

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dc.contributor.author Asairasan, Kesaven
dc.date.accessioned 2024-03-22T07:10:26Z
dc.date.available 2024-03-22T07:10:26Z
dc.date.issued 2023
dc.identifier.citation Asairasan, Kesaven (2023) A Fitness Workout Plan and Meal Plan Recommendation System Using Machine Learning. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2017160
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/1932
dc.description.abstract "This report contains research on the Workout and Nutrition recommendation system using Machine Learning (ML). After the effect of covid-19, the fitness industry has been severely hit. So, most of the gyms are closed and unable to train their members physically. The effect of covid-19 is that peoples are unable to go out. They started work online by sitting in a chair for a long time. Without workouts, they get lazy and pushed into obesity. People did workouts for a variety of reasons, to look fit, healthy, and keep their energy level high. As a result, people are gaining more weight which impacts their BMI. However, everything has now come to an end with the introduction of Mobile Fitness apps. This project proposes a recommended customized workout and nutrition plan. The author created a machine learning model to propose plans based on the accuracy of all the methods. In combination with the significant performance gap, the algorithms with the best accuracy will be picked" en_US
dc.language.iso en en_US
dc.publisher en_US
dc.subject Machine Learning en_US
dc.subject Nutrition and Workout en_US
dc.title A Fitness Workout Plan and Meal Plan Recommendation System Using Machine Learning en_US
dc.type Thesis en_US


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