Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)
FitZen is an AI-driven web application designed to promote holistic fitness and well-being through a multi-faceted approach. It encompasses four core sections: Mental Health, Workout Recommendations, Diet Planning, and Yoga Guidance. At its heart lies Elixir-Health-Llama3B, a fine-tuned LLM chatbot based on Llama-3.2-3B-Instruct, which provides empathetic mental health support and personalized fitness-related guidance. The application integrates advanced natural language processing, rule-based filtering, and dynamic recommendation systems. Leveraging the capabilities of the LLM alongside a robust database stored on Supabase, FitZen offers personalized workout routines, tailored diet plans, and curated yoga asanas. This paper outlines the design, methodology, technical infrastructure, and evaluation metrics used to deliver an intelligent, user-centric health platform. FitZen also offers a future-ready architecture to support additional features such as fitness tracking, meditation, and reward-based engagement strategies.
"FitZen: AI-based Fitness and Wellbeing Application", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b824-b829, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504203.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator