Date of Award

6-15-2026

Document Type

Thesis

Publisher

Santa Clara : Santa Clara University, 2026

Department

Computer Science and Engineering

First Advisor

Yi Fang

Abstract

ThriveTogether is a wellness platform powered by artificial intelligence that is designed to help users create personalized fitness and nutrition plans through a combination of community-shared content and intelligent personalization systems. The platform is developed to support people at all stages of their health journey, including beginners and users with physical limitations, by providing accessible and adaptable wellness guidance. Unlike many existing health applications that rely on generalized advice or costly personalized services, ThriveTogether emphasizes affordability, inclusivity, and practical usability through user-generated recipes, workout plans, and nutrition plans while also enhanced by trusted nutritional sources through a rule-based validation system.

ThriveTogether integrates modern web technologies, artificial intelligence, and community-driven interaction into a centralized platform that allows users to discover, create, share, and follow health-related plans tailored to their goals and lifestyles. Features such as personalized AI-assisted nutrition and workout plan generation, nutritional and weight tracking, social engagement through our community hub, and calendar-based scheduling were implemented to encourage sustainable and informed healthy living habits. The resulting platform demonstrates how AI and collaborative digital communities can be combined to create a more approachable, scalable, and holistic user-centered wellness experience.

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