• Mr. Yathish Kumar B
• Dr. Shashidhar Kini K

This study explores the development of an AI-powered chatbot system using the MERN stack—MongoDB, Express.js, React.js, and Node.js. The chatbot is designed to engage users in real-time, intelligently answering queries using rule-based logic and optional NLP integration. The primary aim is to create a reliable, scalable virtual assistant capable of improving user interaction in business, education, and customer support applications. Key system features include a responsive interface, RESTful APIs, persistent conversation memory, and optional integration of external AI models for advanced processing. This report presents the methodology used in Phase 1, including frontend and backend development, API structuring, data handling, and system evaluation.

AI Chatbot, MERN Stack, React.js, Node.js, Natural Language Processing, MongoDB, Express.js, API Integration, Human-Computer Interaction.

"AI CHATBOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.982-985, July-2025, Available :http://www.jetir.org/papers/JETIRGX06182.pdf

"AI CHATBOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp982-985, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06182.pdf