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AI powered fitness analyzer

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dc.contributor.author Jayasuriya, Kavith
dc.date.accessioned 2025-06-11T08:23:00Z
dc.date.available 2025-06-11T08:23:00Z
dc.date.issued 2024
dc.identifier.citation Jayasuriya , Kavith (2024) AI powered fitness analyzer. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 20200604
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/2498
dc.description.abstract " This research was conducted due to the frequent injuries people sustain when doing certain exercises. Physical fitness is one of the most important aspects in day to day life and when done incorrectly it can lead to very severe repercussions. The aim of this project is to create an AI that will correct wrong movements using human body pose recognition models. It also offers for the user to get real-time feedback for a better workout. In order to give real-time feedback, the author proposes utilizing a trained form correcting model in sync with an existing pose estimation algorithm." en_US
dc.language.iso en en_US
dc.subject Machine learning en_US
dc.subject Gesture recognition en_US
dc.title AI powered fitness analyzer en_US
dc.type Thesis en_US


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