“Customer Support Chatbot with MI for Restaurant”

Abstract- 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— Chatbot, Customer Service, Food Ordering, Node.js, MongoDB, AI-driven, Complaint Resolution, Knowledge Base Management, Voice Assistance, Session Management, Real-time Updates, Personalization, Smart Recommendations, API Gemini, Operational Efficiency

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-05-14
DOI
https://doi.org/10.55041/ijsrem47912
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
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article

“Customer Support Chatbot with MI for Restaurant”

Maddipatla Adharsh
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
FinTech, Crowdfunding, Digital Finance
article

“Customer Support Chatbot with MI for Restaurant”

Maddipatla Adharsh
article en

Abstract

Abstract- 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— Chatbot, Customer Service, Food Ordering, Node.js, MongoDB, AI-driven, Complaint Resolution, Knowledge Base Management, Voice Assistance, Session Management, Real-time Updates, Personalization, Smart Recommendations, API Gemini, Operational Efficiency

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(05)
Openalex Percentile: Top 83%
FinTech, Crowdfunding, Digital Finance
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“Customer Support Chatbot with MI for Restaurant” — Maddipatla Adharsh · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) | TGRS Research Map | TGRS