About this project
NutriKids is an Agentic AI-powered pediatric nutrition intelligence platform built using NitroStack's Model Context Protocol (MCP). Parents often struggle to obtain reliable, personalised guidance for concerns such as growth assessment, nutritional deficiencies, meal planning, and child health. Traditional AI chatbots typically rely on a single prompt, making it difficult to coordinate specialised healthcare knowledge across multiple domains. To address this, NutriKids introduces a Supervisor Agent that analyses each user query and dynamically orchestrates specialised MCPs based on the required expertise. The platform currently includes three MCPs: Growth MCP for WHO-based growth assessment, Medical MCP for symptom and nutritional deficiency analysis, and Food MCP for personalised meal planning and dietary recommendations. Each MCP independently performs its specialised reasoning, while the Supervisor Agent reconciles their outputs into a single structured, parent-friendly response. Built with NitroStack, the solution demonstrates a modular and scalable Agentic AI architecture where new healthcare capabilities can be added as independent MCPs without changing the existing system. By combining intelligent orchestration, evidence-based recommendations, and personalised nutrition guidance, NutriKids showcases how MCP can be applied to solve real-world healthcare challenges through collaborative AI agents rather than a single monolithic model. video - https://canva.link/8xmwfwfm6xp3fmg
HealthTech & Life Sciences track
Design AI-powered solutions for healthcare, diagnostics, patient care, medical research, and life sciences.