Speaker
Description
Abstract
"GymEnhancerQR" transforms non-smart fitness equipment into intelligent solutions by employing advanced sensors to monitor athletic performance. This technology enables users to track repetitions, the duration of each repetition, and provides personalized exercise suggestions through the scanning of QR codes associated with each piece of equipment. The user-friendly interface, built on React, enhances user interaction with the equipment, offering immediate access to performance data and customized recommendations tailored to individual needs. The robust backend, developed using Python and Django, ensures efficient processing and data security. "SmartGymQR" not only facilitates more efficient and personalized training but also strengthens the management of personal and financial data through advanced security technologies.
Keywords: fitness monitoring, smart equipment, personalized training, React, Python, Django, QR codes, Evelink technology, performance sensors.
