International Journal of Advanced Research in Computer and Communication Engineering

Abstract: In today’s digital environment, organizations require efficient and automated customer support systems to handle inquiries, bookings, and information requests without human dependency. Traditional receptionist services are limited by availability, response time, and operational cost. To overcome these limitations, this project proposes a Virtual Receptionist Chatbot System that provides automated, intelligent, and real-time interaction with users. The system integrates a web-based chatbot interface, Natural Language Processing (NLP) engine, and cloud-based database such as Firebase to deliver accurate responses to user queries.

The chatbot processes text or voice inputs, retrieves relevant information from the knowledge base, and generates responses in the form of text, images, forms, or booking confirmations. Additionally, the system stores conversation data in the cloud for monitoring, analytics, and service improvement. This solution enhances customer engagement, reduces waiting time, and provides 24/7 automated assistance while supporting organizations in improving operational efficiency and decision-making.

Downloads: | DOI: 10.17148/IJARCCE.2026.15232