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Fitness Tracking Application using MERN Stack

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Registration ID: IJNRD_193578

Published ID: IJNRD2305169

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Abstract

This application system intends to automate the existing manual system by the help of computerised apparatus and full-fledged computer software, fulfilling their requirement, so that their valuable data/information can be stored for a lengthy portion of time with easy retrieval and manipulation of the same. This application creates an individual efficient fitness plan based on your characteristics. This app is easy to use and ensures the best possible result. Just like a personal trainer. Some apps act like a personal digital trainer that can tailor workouts for each individual. They provide video guides showing the right way to perform an exercise, and offer the option to change intensity. A quick summary of health and fitness apps for iPhone and android from Populytics, a population health and analytics company in the Lehigh Valley Health and fitness apps can help motivate you on your journey to improved health Exercise on your schedule. Apps are available for short, focused workouts that can be done in less than 10 minutes. They provide science-based routines with up to about 1,000 variations, and have the ability to understand a person’s fitness level, adjusting accordingly. Gym Application, as reported above can lead to an error free, secure, well founded and fast executives system. It can help the user to concentrate on their other activities preferably to concentrate on the record keeping Thus it will help organisation in better utilisation of resources. That means that one need not to be distracted by information that is not relevant, while being able to reach the information.

How To Cite (APA)

Ameya Pandav, Sarthak Kakade, Kimaya Naik, Shruti Pacharne, & Suvarna Patil (May-2023). Fitness Tracking Application using MERN Stack. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), b541-b543. https://ijnrd.org/papers/IJNRD2305169.pdf

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Paper Reg. ID: IJNRD_193578

Published Paper Id: IJNRD2305169

Research Area: Computer Engineering 

Author Type: Indian Author

Country: Pimpri Chinchwad, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305169.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305169

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