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A restaurant chatbot that helps customers order meals

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Meal Chatter Restaurant Chatbot

Meal Chatter is a Restaurant Chatbot built as an exam project by Emmanuel Asuquo, a Backend Engineering student at AltSchool Africa School of Engineering 2022/23. The chatbot is designed to seamlessly integrate with a restaurant's existing systems and offer you a seamless dining experience. Our chatbot is here to assist you with all your dining needs, ranging from placing orders to paying your bills, all through a simple and intuitive conversational interface.

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Built With:

Javascript Node.js Express.js Socket.io SASS Render Visual Studio Code HTML5

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Requirements

Requirements for the examination project

  • ChatBot interface would be like a chat interface

  • It should be able to store user session based on devices

  • When a customer lands on the chatbot page, the bot should send these options to the customer: Select 1 to Place an order Select 99 to checkout order Select 98 to see order history Select 97 to see current order Select 0 to cancel order

  • When a customer selects “1”, the bot should return a list of items from the restaurant.

  • When a customer selects “99” out an order, the bot should respond with “order placed” and if none the bot should respond with “No order to place”. Customer should also see an option to place a new order

  • When a customer selects “98”, the bot should be able to return all placed order

  • When a customer selects “97”, the bot should be able to return current order

  • When a customer selects “0”, the bot should cancel the order if there is.

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Development Setup

Prerequisites

Clone this repo

git clone https://github.com/dannyrae/meal-chatter.git

Install project dependencies

npm install

Update .env with example.env

Run a development server

npm run dev

Base URL

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Lessons Learned

While building this project, I learned about:

  • Socket io
  • Session storage

License

Distributed under the MIT License. See LICENSE for more information.

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Contact

Project Repo Link: Meal Chatter

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Acknowledgements

This project was made possible by:

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Contributor

  • Emmanuel Asuquo

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