AI Chatbot for Health: A MERN Stack-Based Intelligent Healthcare Assistant with Natural Language Processing

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AI Chatbot for Health: A MERN Stack-Based Intelligent Healthcare Assistant with Natural Language Processing

Yash Tripathi

Department of Computer Science and Engineering

IIMT College of Engineering, Greater Noida

A Constituent Institute of AKTU, Uttar Pradesh, India

Email: tripathiyash700@gmail.com

Abstract—Healthcare accessibility and immediate medical guidance are critical challenges, particularly in underserved regions. This paper presents an AI-powered healthcare chatbot developed using the MERN Stack (MongoDB, Express.js, React.js, Node.js), integrated with advanced artificial intelligence and natural language processing. The system provides intelligent symptom analysis, health risk assessment, personalized health tracking, and preliminary medical guidance through a conversational interface. Key features include user authentication, symptom checking, health risk assessment, medication reminders, appointment scheduling, emergency contact access, health tracking dashboards, secure profile management, persistent chat history, automated health report generation, and multilanguage support. The application integrates verified medical APIs, employs end-to-end encryption, JWT authentication, and HIPAA compliance for data security. Developed using JavaScript ES6+, HTML5, CSS3, and Visual Studio Code, the system achieves response times below 0.1 seconds for instant feedback, under 1 second for conversations, and up to 5 seconds for complex queries, with 99.9% uptime and compatibility across major browsers.

Index Terms—Artificial Intelligence, Healthcare Chatbot, MERN Stack, Natural Language Processing, Machine Learning, Healthcare Technology, Web

Application, Medical Assistance

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