AI-DRIVEN HEALTH: A WEB APP FOR ENHANCED HEALTHCARE QUERIES AND NUTRITION ANALYSIS

Authors

  • A. SRAVANI1 , Dr. D. WILLIAM ALBERT2 . Mr. G. SREERAMULU3 Author

DOI:

https://doi.org/10.62643/

Keywords:

Artificial Intelligence, Healthcare Web Application, Nutrition Analysis, Natural Language Processing, Machine Learning, Digital Health Assistant

Abstract

The rapid advancement of Artificial Intelligence (AI) has significantly transformed the healthcare sector by enabling intelligent decision-support systems and personalized healthcare services. This paper presents an AI-driven web application designed to assist users with healthcare-related queries and provide detailed nutrition analysis based on user inputs. The system integrates Natural Language Processing (NLP) for understanding healthcare questions and machine learning algorithms for analyzing dietary data. Users can enter symptoms, health-related questions, or food consumption details, and the system generates relevant medical guidance and nutritional insights. The web application also provides calorie estimation, nutrient breakdown, and health recommendations based on individual dietary patterns. The proposed system aims to improve accessibility to basic healthcare information and promote healthier lifestyle choices. Experimental evaluation demonstrates that the application provides accurate responses and reliable nutrition analysis, making it a valuable digital health assistant.

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Published

04-05-2026

How to Cite

AI-DRIVEN HEALTH: A WEB APP FOR ENHANCED HEALTHCARE QUERIES AND NUTRITION ANALYSIS. (2026). International Journal of Engineering Research and Science & Technology, 22(2(1), 2304-2309. https://doi.org/10.62643/