Authors :
Aditya Malkar; Jyotidurga Pawar; Anil Kale
Volume/Issue :
Volume 9 - 2024, Issue 4 - April
Google Scholar :
https://tinyurl.com/2t5ant8e
Scribd :
https://tinyurl.com/7ppb9bz7
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24APR1183
Abstract :
The AI Gym Trainer is a system that provides
multiple features designed to provide personalized
fitness coaching and nutrition tracking. Imposing the
advanced pose estimation capabilities of Mediapipe, the
system provides real-time responses to exercise
performance, focusing on posture, alignment, and
technique.This feature is helpful because users will
receive accurate guidance in workout sessions, which in
turn enhances effectiveness while minimizing the risk of
injury. Furthermore, the AI Gym Trainer is
implemented using machine learning algorithms, which
makes it capable of providing tailor workout routines to
individual preferences and abilities, encouraging a
personalized training experience. Through a user-
friendly interface accessible through a desktop or web
application, users can seamlessly interact with the
system, track their progress, and receive personalized
recommendations. Additionally, the system has a feature
of a Flask-based food tracking feature which enhances
the capabilities, allowing users to monitor their calorie
intake and receive nutritional analysis. This
comprehensive approach addresses both physical
activity and dietary habits, and provides users with a
holistic platform for managing their fitness goals.
Evaluation through rigorous testing and user trials
demonstrates the effectiveness and potential impact of
the AI Gym Trainer in promoting overall health and
well-being. With its combination of cutting-edge
technology and user-centric design, the AI Gym Trainer
represents a significant advancement in personalized
fitness coaching and nutrition tracking, catering to the
diverse needs of individuals striving to achieve their
fitness goals.
Keywords :
Artificial Intelligence(AI), Human Pose Estimation, Computer Vision, Machine Learning, Exercise, Diet.
The AI Gym Trainer is a system that provides
multiple features designed to provide personalized
fitness coaching and nutrition tracking. Imposing the
advanced pose estimation capabilities of Mediapipe, the
system provides real-time responses to exercise
performance, focusing on posture, alignment, and
technique.This feature is helpful because users will
receive accurate guidance in workout sessions, which in
turn enhances effectiveness while minimizing the risk of
injury. Furthermore, the AI Gym Trainer is
implemented using machine learning algorithms, which
makes it capable of providing tailor workout routines to
individual preferences and abilities, encouraging a
personalized training experience. Through a user-
friendly interface accessible through a desktop or web
application, users can seamlessly interact with the
system, track their progress, and receive personalized
recommendations. Additionally, the system has a feature
of a Flask-based food tracking feature which enhances
the capabilities, allowing users to monitor their calorie
intake and receive nutritional analysis. This
comprehensive approach addresses both physical
activity and dietary habits, and provides users with a
holistic platform for managing their fitness goals.
Evaluation through rigorous testing and user trials
demonstrates the effectiveness and potential impact of
the AI Gym Trainer in promoting overall health and
well-being. With its combination of cutting-edge
technology and user-centric design, the AI Gym Trainer
represents a significant advancement in personalized
fitness coaching and nutrition tracking, catering to the
diverse needs of individuals striving to achieve their
fitness goals.
Keywords :
Artificial Intelligence(AI), Human Pose Estimation, Computer Vision, Machine Learning, Exercise, Diet.
