International Journal of Advanced Research in Computer and Communication Engineering

Abstract: The rapid increase in lifestyle-related chronic diseases such as Type 2 diabetes, obesity, and hypercholesterolemia has created a need for intelligent, integrated, and personalized healthcare solutions. This paper presents the design and development of an AI Healthcare and Nutrition Assistance App, a comprehensive web-based platform that leverages artificial intelligence to provide data-driven nutrition guidance and continuous health monitoring. The system integrates AI-powered meal analysis using computer vision, personalized diet planning, and real-time health tracking to support preventive healthcare and disease reversal. The application follows a multi-role architecture comprising patients, doctors, dieticians, and administrators, each with role-based access and specialized dashboards.
Core functionalities include an AI Meal Analyzer for calorie and nutrient estimation from food images, recipe recommendation systems, vitals tracking, clinical report uploads, and interactive data visualization of health metrics such as glucose levels and weight trends. Built using modern web technologies including Next.js, React, Firebase, and Google Generative AI, the platform ensures scalability, security, and usability. By bridging the gap between daily nutrition habits and clinical supervision, the proposed system enhances decision-making, promotes sustainable lifestyle changes, and demonstrates the potential of AI-driven digital health platforms in modern healthcare ecosystems.

Downloads: | DOI: 10.17148/IJARCCE.2026.151108