AI-driven Diet and Fitness management solution

Abstract

This project report presents the design, development, and evaluation of NutriSL, a diet and fitness management system aimed at empowering dietitians to create personalized meal and workout plans for clients while facilitating secure, real-time communication and progress tracking. The system features a web-based admin portal for dietitians and a mobile application for clients, both designed with a strong focus on usability and accessibility. NutriSL leverages modern technologies such as React, React Native, Supabase for backend services, and Groq’s Llama 3 AI models to provide intelligent meal and workout suggestions. Core functionalities include client management, personalized planning, AIassisted recommendations, weight progress tracking, and secure messaging. Throughout the project, essential functional, non-functional, and user interface requirements were successfully implemented, while some luxury features such as dark mode, offline mode, and downloadable reports were identified for future enhancement. Technical challenges, such as ensuring database consistency with Supabase triggers and implementing real-time communication, were systematically researched and addressed. The project served as a practical exercise in applying agile development practices, AI integration, cloud backend management, and mobile-responsive design. Overall, NutriSL successfully meets its intended goals and establishes a solid foundation for future development and feature expansion in the area of digital diet and wellness management.