This paper presents Vital – a Smart Supplement and Nutrition Recommendation System, a web-based platformwhichisdesigned 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). Theuserisabletoinput details such as age, gender, allergies, and health goals to get supplement suggestions that fit their needs. If a user uploadsaprescription, the system checks it to find the medicines, connects them to health conditions, and creates nutrition adviceusingexternalAPIs. The platform displays a full-stack implementation using React.js, Node.js, Python-based ML services, mongoDBwhichiscombined with datasets and external APIs. Vital combines healthcare data and smart recommendation models to helppeoplemakecorrect health decisions. At the same time, it highlights the importance of consulting medical professionals before takinganysupplementsor medications. Keywords: Smart Supplement Recommendation, Nutrition Advice System, Machine Learning and NLP, PrescriptionAnalysis(OCR),Personalized Healthcare Platform