NUTRIVEDA: An AI-Driven Framework For Personalized Nutrition Integrating Machine Learning, Large Language Models, And Ayurvedic Principles

Authors: Tarun, Dr. Naveen Sharma, Mr. Rahul Dahiya, Ms. Sakshi Rajwar, Mr. Tarun Singh Negi

Abstract: Modern lifestyle trends, particularly the rise of sedentary behaviors coupled with the proliferation of ultra-processed diets, pose an unprecedented challenge to global public health. The epidemiological shift toward non-communicable diseases, such as obesity, type 2 diabetes mellitus, cardiovascular pathologies, and complex gastrointestinal disorders, has demonstrated the inadequacy of generalized dietary guidelines. This paper presents the concept of "NUTRIVEDA," a comprehensive framework encompassing AI-driven recommendation systems, clinical intervention frameworks, and the integration of artificial intelligence with traditional Ayurvedic medicine. The core objective is the generation of tailored weekly meal plans that map precisely to the nutritional needs, biometric markers, and preferences of the individual user. By synthesizing disparate data streams, these AI-driven platforms represent a paradigm shift in preventative medicine.

DOI: http://doi.org/10.5281/zenodo.21768139