Wellness AI: AI-Driven Personalized Diet and Fitness Recommendation

Wellness AI is a health, fitness and lifestyle recommendation platform designed to process direct prompts that contain user information, such as age, gender, dietary preferences, and lifestyle choices. The system integrates real-time health metrics from Apple HealthKit, enabling more comprehensive insights by including user’s vitals. Using advanced fine-tuned large language models (LLMs) with Low-Rank Adaptation (LoRA) and quantization techniques, the platform achieves high efficiency and accuracy. This paper details the technical components, training methods, and model optimization approaches used to streamline personalized health insights.

I. Introduction

Health care is an area with rapid technology growth in the direction of customized care, offering data-driven insights to those using it. One of the major tasks concerning such personalization is the integration of diverse user sources-historical records and real-time vitals and lifestyle factors-for actionable recommendations.