Introducing Delicious Den FoodieBot

Project Overview

I am excited to share my latest project, Delicious Den FoodieBot, an interactive chatbot designed to enhance the dining experience at Delicious Den restaurant. This project was developed during my internship with IBM, leveraging IBM Watson Assistant to provide real-time assistance to users on the restaurant’s website.

Check out the live project here and the repository on GitHub here.

Features

  • Interactive Chatbot: Utilizing IBM Watson Assistant, the chatbot provides instant responses to menu inquiries, helps with order placements, and answers general questions about the restaurant.
  • Dynamic Menu Display: The chatbot features a responsive menu showcasing images and prices, making it easier for customers to decide on their orders.
  • User-Friendly Interface: The website is built with HTML, CSS, Bootstrap, and JavaScript, offering an intuitive and seamless user experience.

Implementation

Technologies Used

  • IBM Watson Assistant: For creating and integrating the chatbot.
  • HTML5: To structure the web pages.
  • CSS3: For styling the web pages.
  • JavaScript (ES6): For interactive elements and client-side scripting.
  • Bootstrap 4: For a responsive and modern design.

How to Run the Project

  1. Clone the repository:
 git clone https://github.com/FarhaKousar1601/Delicious-Den-FoodieBot.git
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  1. Navigate to the project directory:
 cd Delicious-Den-FoodieBot
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  1. Open index.html in a web browser to view the project.

Screenshots

![Delicious Den Website]
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![FoodieBot Screenshot]
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Team Members

I had the pleasure of working with an amazing team of interns on this project:

  • Farha Kousar
  • Sonali
  • Vidhi
  • Sharmila
  • Sanjana
  • Shahina
  • Rabiya
  • Radhika
  • Akanksha

Learnings from the Masterclasses

Throughout the internship, we had the privilege of attending five insightful masterclasses led by Amit Sir:

  1. Introduction to AI: Basics of artificial intelligence and its real-world applications.
  2. Generative AI: Advanced concepts and uses of generative AI technologies.
  3. Prompt Engineering: Techniques for designing effective prompts for AI models.
  4. Machine Learning using Python: Building and implementing machine learning models with Python.
  5. Chatbot Development with IBM Watson: Creating and integrating chatbots using IBM Watson Assistant.

Acknowledgments

I would like to extend my gratitude to:

  • IBM for providing the internship opportunity and resources.
  • CSRBOX for their support.
  • Amit Sir for his valuable masterclasses and guidance.
  • My team members for their hard work and collaboration.

Follow Me

Star the Repository

If you find this project interesting, please star the repository on GitHub:

  1. Visit the repository: Delicious Den FoodieBot
  2. Click the “Star” button at the top-right corner of the page to add the repository to your starred projects.

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