Survey on Vital : A Smart Supplement and Nutrition Recommendation System

Abstract

This paper presents Vital – a Smart Supplement and Nutrition Recommendation System, a web-based platform which is designed to provide personalised supplement recommendations and nutrition advice. To analyse user profiles and medical prescriptions, the system uses machine learning (ML), natural language processing (NLP), and optical character recognition (OCR). The user is able to input details such as age, gender, allergies, and health goals to get supplement suggestions that fit their needs. If a user uploads a prescription, the system checks it to find the medicines, connects them to health conditions, and creates nutrition advice using external APIs. The platform displays a full-stack implementation using React.js, Node.js, Python-based ML services, mongoDB which is combined with datasets and external APIs. Vital combines healthcare data and smart recommendation models to help people make correct health decisions. At the same time, it highlights the importance of consulting medical professionals before taking any supplements or medications.