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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 10

Issue Published : 115

Article Submitted : 19463

Article Published : 8041

Total Authors : 21252

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Paper Title: FitZen: AI-based Fitness and Wellbeing Application
Authors Name: Shivom Hatalkar , Aditya Apte , Praharsh Shinde , Chaitanya Barapatre , Priyanka Bhoir
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IJRTI_202352
Published Paper Id: IJRTI2504203
Published In: Volume 10 Issue 4, April-2025
DOI:
Abstract: 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.
Keywords: Holistic Fitness, AI Chatbot, LLM Fine-Tuning, Personalized Recommendations, Mental Health, Conversational AI, Llama-3, PEFT - LoRA
Cite Article: "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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ISSN: 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
Publication Details: Published Paper ID: IJRTI2504203
Registration ID:202352
Published In: Volume 10 Issue 4, April-2025
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Page No: b824-b829
Country: Vasai, Mumbai, Maharashtra, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504203
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504203
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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