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@article{194549,
        author = {Kalee Wadhwa and Rajesh Thakur and Abhijeet Singh Chauhan and Abhay Kumar},
        title = {AI-Driven Smart Fitness Assistant Using Conversational Agents and Exercise Databases},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {4996-5005},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194549},
        abstract = {In the modern hustling world, it is now hard to stay physically fit with too many activities, unavailability of gyms and physical discomfort in the open space that is used to exercise. This study offers an artificially intelligent smart fitness recommendation system that supports users in home- based exercises. The proposed system incorporates the use of conversational intelligent agent, a modular communication system, and the ExerciseDB API to provide the user with personalized workout recommendations in response to queries. The smart agent processes natural language with inputs like favorite muscles, equipment being used, or type of workouts. Such requests are handled by a modular communication layer that communicates to the exercise database to obtain structured exercise data. It is based on a three-layer system architecture where it has the user interaction layer, the communication layer and the data layer. Also, the system offers simple nutritional recommendations to aid in the general health care. The results of the experiments show the ability to process queries efficiently, make the right exercise recommendations, and scale the system performance. The given model emphasizes that a way of merging conversational AI and organized fitness databases can create an intelligent and accessible home-based fitness assistant.},
        keywords = {Artificial Intelligence (AI), Intelligent Agent (uAgent), Modular Communication Protocol (MCP), ExerciseDB API, Fitness Assistance System, Natural Language Processing (NLP), Conversational Interface, Exercise Recommendation Sys- tem, Nutritional Guidance, Modular Architecture, API Integra- tion, Home-based Fitness, Scalable System Design, Real-time Data Processing.},
        month = {March},
        }