Personal Pulse Fitness

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Ms. Aishwarya Katkar
Ms.Sakshi Rajput
Ms. Smita Jadhav
Ms. Aditya Nanaware
Mrs. S. S. Atpadkar

Abstract

The Gym Management System incorporating a Recommendation System and Image Processing is an innovative solution aimed at transforming the management and user experience in fitness canters. This system employs AI driven recommendation algorithms to provide personalized workout plans, dietary suggestions, and fitness routines tailored to individual user preferences, goals, and performance data. The dynamic nature of the recommendation system ensures continuous adaptation to user progress, enhancing effectiveness and engagement. With the integration of image processing technologies, the system introduces features such as facial       recognition        for secure            and efficient         member authentication, pose estimation for monitoring exercise form and posture, and real-time feedback to improve workout accuracy and reduce injury risks. The platform automates essential administrative tasks such as membership management, attendance tracking, and billing, while offering trainers a centralized dashboard to monitor member progress and optimize resource allocation

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How to Cite
Katkar, M. A., Rajput , M., Jadhav, M. S., Nanaware, M. A., & Atpadkar, M. S. S. (2025). Personal Pulse Fitness. International Journal of Recent Advances in Engineering and Technology, 14(2s), 216–221. Retrieved from https://journals.mriindia.com/index.php/ijraet/article/view/1460
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