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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | WEB APPLICATION FOR FITNESS TRACKING USING MERN STACK |
| Authors Name: | Ameya Pandav , Sarthak Kakade , Kimaya Naik , Shruti Pacharne , Suvarna Patil |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_197050
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| Published Paper Id: | IJNRD2306039 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | |
| Abstract: | In recent years, the increasing popularity of fitness tracking has revolutionized the way individuals monitor and manage their health and well-being. This paper presents the results and analysis of a web application developed for fitness tracking using the MERN (MongoDB, Express.js, React.js, and Node.js) stack. The aim of this study was to design and implement a robust and user-friendly web application that allows users to track their fitness activities, set goals, and analyze their progress over time. The web application leverages the MERN stack's powerful capabilities to provide a seamless user experience and ensure efficient data management. MongoDB was used as the database to store user information, exercise logs, and performance metrics. Express.js facilitated the creation of a RESTful API, enabling smooth communication between the server and client. React.js was utilized to build a dynamic and interactive user interface, allowing users to easily input and view their fitness data. Node.js served as the server runtime environment, ensuring high scalability and performance. Throughout the development process, various features were incorporated into the web application, including user registration and authentication, activity logging, goal setting, data visualization, and performance analysis. The application also integrates with wearable fitness devices and offers real-time synchronization of data. User feedback was collected through surveys and interviews to gauge the effectiveness and usability of the application. The results of the study demonstrate the successful implementation of the web application and its ability to effectively track and monitor fitness activities. Users found the application intuitive and engaging, with positive feedback regarding its user interface and data visualization capabilities. The application's performance was tested under varying user loads, and it exhibited high scalability and responsiveness. This research contributes to the growing field of fitness tracking and highlights the benefits of utilizing the MERN stack for developing web applications in this domain. The findings underscore the importance of user-centric design and efficient data management in creating a comprehensive fitness tracking experience. Future work includes expanding the application's feature set, incorporating machine learning algorithms for personalized recommendations, and conducting longitudinal studies to assess long-term user engagement and behavior change. |
| Keywords: | Web application, fitness tracking, MERN stack, MongoDB, Express.js, React.js, Node.js, user experience, data visualization, performance analysis |
| Cite Article: | "WEB APPLICATION FOR FITNESS TRACKING USING MERN STACK ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.a392-a395, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306039.pdf |
| Downloads: | 000118757 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID:IJNRD2306039 Registration ID: 197050 Published In: Volume 8 Issue 6, June-2023 DOI (Digital Object Identifier): Page No: a392-a395 Country: Navi Mumbai, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2306039 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2306039 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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