PROJECTS
Personalized Nutrition and Lifestyle Intelligence
This project explores personalized AI systems for nutrition, physical activity, and everyday health decisions. It combines causal reasoning, language models, and individual health context to generate recommendations that are adaptive, explainable, and practical.
- Personalized Causal Graph Reasoning for LLMs: An Implementation for Dietary Recommendations
- PERFECT: Personalized Exercise Recommendation Framework and Architecture
- Evaluation of LLMs Accuracy and Consistency in the Registered Dietitian Exam
Project information
- Category: Lifestyle Recommendation and Personal Health Models
- Contact Person: Amir M. Rahmani
