ai fitness workout assistant using nlptechniques
Rahul Sakthevel SP,Inbha Tamil Selvan P,Yeswandhar V
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:6 Issue:3 Year: 19 April,2025 Pages:1990-1994
Abstract
Now a days due to lack of physical activities most of us face various difficulties which could not overcome our mental stress. We innovate a AI fitness workout assistant to enhance user experience and engagement in personalized exercise routines. Creation of login for calculating the BMI index, Medical issues collected data are trained using algorithm The proposed system employs on utilizing Natural Language Processing (NLP) techniques to comprehend and interpret user input, such as fitness goals, preferences, and constraints, extracted from textual descriptions or voice commands. Specifically Multilayer Perceptron (MLP) algorithm, is utilized for its capability to model complex nonlinear relationships between input and output variables, enabling efficient learning from user interactions and historical workout data. Through continuous interaction, the assistant tailors workout recommendations and provides realtime feedback, adapting to user progress and preference
Kewords
AI fitness assistant, NLP techniques, Multilayer Perceptron algorithm, personalized workout routines, user engagement, exercise recommendations, real-time feedback, user intent understanding
Reference
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