Rasa Chatbot for Restaurant

Project Code :TCMAPY546

Objective

A chatbot application for restaurant to take orders and answer different queries of customers.

Abstract

According to CX Network, 53% of companies identify AI as an important tool in creating a “customer-first culture”. Another study found that 56% of businesses say that chatbots are driving disruption in their industry. This means that chatbots are creating powerful changes to industries. They are affecting how customers interact with businesses. They affect how customer service is done. They affect how leads are generated. And they affect how quickly customers can be given the support they need.

Chatbots are growing in popularity every day, and with good reason. They have proven to be a great asset to thriving businesses in the modern world. Great companies can be supported by advanced AI and together become something even greater. This applies to chatbots across all industries, but today we’re going to take a closer look at one sector. How are chatbots advancing customer experience in the restaurant sector? We have the answer.

KEYWORDS: Menu Recommendations Reservation Management Ordering and Delivery

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

HARDWARE CONFIGURATION:

·        Processor                        - I5/Intel Processor

·        RAM                              - 8GB (min)

·        Hard Disk                       - 500 GB

 

SOFTWARE CONFIGURATION:

·        Operating System                     :   Windows 10

·        Server-side Script                     :   Python 3.7.9

·        IDE                                           :   VS Code

·        Libraries Used                          :   rasa.

·        Framework                               :   Django

Learning Outcomes

LEARNING OUTCOMES: 

Rasa 

API

Frontend

Backend

Django

Demo Video

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