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@article{192515,
        author = {Harsh Hariani and Kunal Kithani and Geeta Rohra and Harsh Vishwasrao and Shubhangi Chintawar},
        title = {FitAI: An Intelligent Web Platform for Personalized Fitness Management},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {1312-1315},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192515},
        abstract = {With increasing awareness about health and fitness, digital fitness applications have become essential tools for managing physical activities and diet plans. However, many existing systems fail to provide personalized guidance and effective progress tracking. This paper presents the design and development of FitAI, a smart fitness web application developed by the authors to assist users in achieving their fitness goals. The system provides personalized workout recommendatiozns, diet planning, and performance monitoring using modern web technologies such as React, TypeScript, and Supabase. FitAI aims to improve user motivation, ensure data security, and promote a healthy lifestyle. In addition, FitAI focuses on creating a balanced ecosystem where users can easily manage their physical activities, nutrition habits, and health records in a single platform. By combining data-driven analysis with user-friendly design, the system aims to reduce dependency on external fitness trainers and costly gym programs. The application also encourages self-discipline and long-term engagement by providing timely feedback and personalized goal-setting features.},
        keywords = {FitAI, Fitness application, Web development, Health monitoring, Personalized training, Cloud database},
        month = {February},
        }