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International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 15, ISSUE 8, AUGUST 2026

AI Fitness and E-Commerce Platform

Anvith K S, Shobha Rani B R

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Abstract: The rapid growth of digital technology has transformed the way people manage their health and fitness. While many online platforms allow users to purchase fitness supplements, they often fail to provide personalized guidance based on an individual's health condition and fitness goals. This project, AI Fitness and E-Commerce Platform (POP GYM), addresses this gap by combining an online supplement store with an AI powered diet recommendation system.The platform enables users to create an account, browse and purchase fitness supplements, manage their shopping cart, and receive customized diet plans based on personal details such as age, height, weight, gender, and fitness objectives. The diet recommendations are generated using Google's Gemini AI, making them more relevant and personalized for each user. In addition to user features, the system includes an admin dashboard that allows efficient management of products, users, and customer orders.The application is developed using React.js for the frontend, Node.js and Express.js for the backend, and MySQL for database management. This combination ensures a responsive, secure, and scalable web application. By integrating e-commerce functionality with AI-driven health recommendations, the platform offers users a convenient and intelligent solution to support both their fitness shopping and nutritional planning.The project demonstrates how Artificial Intelligence can enhance user experience by providing personalized recommendations while simplifying the management of fitness-related products and services. It also provides a strong foundation for future enhancements such as online payment integration, workout tracking, wearable device connectivity, and mobile application support.

Keywords: Artificial Intelligence, Fitness Management, E-Commerce Platform, Personalized Diet Recommendation, Google Gemini API, React.js, Node.js, Express.js, MySQL, Web Application, Health and Nutrition, Supplement Management, User Authentication, Admin Dashboard, Responsive Web Development.

How to Cite:

[1] Anvith K S, Shobha Rani B R, “AI Fitness and E-Commerce Platform,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.15809

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.