Current Volume 9
The growing prevalence of lifestyle-related non-communicable diseases has created an urgent need for intelligent, personalised digital health tools. Conventional dietary applications provide only static calorie counters and population-average recommendations, failing to adapt to individual physiology, goals, or evolving health context. We present NutriAI Pro, a full-stack AI-augmented nutrition intelligence platform that integrates a React/Vite single-page frontend, an Express.js middleware server, Firebase cloud services, and the Google Gemini 1.5 Pro multimodal large language model. The system delivers four intelligent modules: an AI health coach conditioned on the user's biometric profile, a Food Vision pipeline that estimates caloric and macronutrient content from meal photographs, a generative weekly meal planner, and a predictive health analytics dashboard built on the Mifflin–St Jeor equation and a composite Health Optimisation Score. Functional evaluation demonstrates a 93% food-recognition accuracy, sub-second authentication, AI coaching latency of 1.8–3.2 seconds, and a 100% pass rate across the defined test suite. The work contributes a replicable engineering blueprint for AI-augmented consumer health platforms.
Nutritional Intelligence, Large Language Models, Generative AI, Health Analytics, React, Firebase, Google Gemini, Full-Stack Development, Personalised Wellness, Multimodal AI.
IRE Journals:
Disha Katare, Ashwini Garkhedkar "NutriAI Pro – An AI-Augmented Health and Nutrition Intelligence Platform" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 4561-4568 https://doi.org/10.64388/IREV9I11-1718340
IEEE:
Disha Katare, Ashwini Garkhedkar
"NutriAI Pro – An AI-Augmented Health and Nutrition Intelligence Platform" Iconic Research And Engineering Journals, 9(11) https://doi.org/10.64388/IREV9I11-1718340