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@article{171947, author = {S Harshith and Chethan S and Sagar K H and Harshith D Naik}, title = {FIT-TRACK: FITNESS TRACKING APPLICATION}, journal = {International Journal of Innovative Research in Technology}, year = {2025}, volume = {11}, number = {8}, pages = {1344-1346}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=171947}, abstract = {In the pursuit of healthier and more active lifestyles, fitness tracking has emerged as a key aspect of modern routines. This paper presents “Fit-Track,” a fitness tracking application developed using the MERN stack (MongoDB, Express.js, React.js, Node.js). Fit-Track allows users to log and analyze their workouts, calculate calories burned, and visualize data through interactive charts. Unique features include calendar-based visualizations for historical tracking and secure data management via JWT-based authentication. This platform provides an intuitive, engaging experience, empowering users to monitor progress and maintain consistency in their fitness goals. This fitness tracking application not only simplifies exercise documentation but also empowers users with data-driven insights to monitor and optimize their fitness journey effectively. By combining modern web technologies with engaging features, the project demonstrates practical implementation of the MERN stack while addressing real-world fitness needs.}, keywords = {Fitness Tracking, MERN Stack, Data Visualization, Calorie Calculation..}, month = {January}, }
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