International Journal on Science and Technology

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AI FITNESS WORKOUT ASSISTANT USING NLP TECHNIQUES

Author(s) Shoail Nizam, Ranjeet Saw, S. Arjun, Dr. M. Sujitha, Ms. G. Priyanka
Country India
Abstract This paper presents an AI fitness workout assistant utilizing Natural Language Processing (NLP) techniques, specifically Multilayer Perceptron (MLP) algorithm, to enhance user experience and engagement in personalized exercise routines. The proposed system employs NLP to comprehend and interpret user input, such as fitness goals, preferences, and constraints, extracted from textual descriptions or voice commands. The Multilayer Perceptron algorithm is utilized for its capability to model complex non- linear relationships between input and output variables, enabling efficient learning from user interactions and historical workout data. Through continuous interaction, the assistant tailor workout recommendations and provides real-time feedback, adapting to user progress and preferences. Experimental results demonstrate the effectiveness of the MLP- based NLP approach in accurately understanding user intents and generating personalized workout plans, fostering a more engaging and productive fitness experience.
Keywords Ai fitness assistant, NLP Techniques, MLP algorithm, personalized workout routines, exercise recommendations.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-28
Cite This AI FITNESS WORKOUT ASSISTANT USING NLP TECHNIQUES - Shoail Nizam, Ranjeet Saw, S. Arjun, Dr. M. Sujitha, Ms. G. Priyanka - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2874
DOI https://doi.org/10.71097/IJSAT.v16.i1.2874
Short DOI https://doi.org/g896fx
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