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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 15, ISSUE 2, FEBRUARY 2026

AI-Based Virtual Receptionist Chatbot System

Priyanka Avhad, Poojan Lodha, Sanskar Bhondve, Dinesh Kankal, Ayush Unhawane

DOI: 10.17148/IJARCCE.2026.15232

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.

How to Cite:

[1] Priyanka Avhad, Poojan Lodha, Sanskar Bhondve, Dinesh Kankal, Ayush Unhawane, “AI-Based Virtual Receptionist Chatbot System,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.15232