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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM47912
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This project introduces a machine learning- powered chatbot to assist customer in resolving queries related to Order Food in Restaurant offering seamless interaction and an enhanced customer experience. Key features include interactive menu browsing, cart management, and order placement for delivery or pickup, supported by real-time order tracking and personalised recommendations using natural language processing (NLP). The chatbot also offers voice-to-text functionality for accessibility, multi-language support, advanced payment integration, and a loyalty rewards system. An admin panel facilitates real-time menu and order management. Built with a scalable and secure architecture, the chatbot operates seamlessly on web and mobile platforms, reducing staff workload and enhancing customer satisfaction through efficient and accessible interactions
KEYWORDS
Publication Date
5/14/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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