AI-Based Personalized Diet and Fitness Planner Using Multi-Agent Systems
Year: 2026
Type: article
Abstract: In this paper, a new AI-based system for health planning has been proposed, and a multi-agent system approach has been used to make this system a personalized and adaptive system for health management. This system has been differ- entiated from other fitness-based applications, which provide generalized information, by considering the preferences, regional diet, and culture of users. In the proposed system, intelligent agents based on the Agno framework have been used to plan diets, workouts, and motivation for the users. Large language models such as Gemini and OpenAI have been used to understand the queries of users and provide voice support. A web search engine is utilized to provide diet and workout plans for different regions. The proposed system provides features such as reminder support, water intake tracking, and email support, making it more attractive and personalized. The system also resolves contradictions related to diet and workout plans, rendering it a reliable virtual health assistant rather than a mere health planning system.
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7153501992
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