Ch. Satyanarayana Reddy1, K.Pavani2, T. Siva Anil3 03 05 Due to increased incidence of obesity diabetes cardiovascular disease hypertension and other lifestylerelated diseases health and nutrition are major concerns today Calorie counters activity trackers and recipe apps are readily available but most of them gather data but dont provide personalized advise or consider a users medical problems Results are a torrent of generic recommendations that normal users struggle to apply Based on health concerns the AIPowered Nutrition Advisor provides recommendations online individualized Machine meal Learning algorithms notably KMeans Clustering evaluate curated food databases to recommend meals for chronically ill users Diabetes Heart Disease High Blood Pressure Liver Disease Stroke and Kidney Disease are supported The system gives severitybased precautions Low Medium High and supports numerous health problems with consistent dietary advice The Python Flaskbased program provides realtime recommendations via a responsive web interface on any device Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026