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Offered By: IBM

Improve Customer Support with AI-powered Voice Services

In this guided project, you will create a voice-enabled pizza-ordering application using embeddable AI and deploy it with Flask. Learn how to use Flask to deploy machine-learning models, allowing anyone to interact with them through an intuitive user interface and see the results for themselves. Don't let the challenge of training AI hold you back - our cutting-edge embeddable AI libraries can be seamlessly integrated into your enterprise applications.

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Guided Project

Artificial Intelligence

909 Enrolled
4.5
(180 Reviews)

At a Glance

In this guided project, you will create a voice-enabled pizza-ordering application using embeddable AI and deploy it with Flask. Learn how to use Flask to deploy machine-learning models, allowing anyone to interact with them through an intuitive user interface and see the results for themselves. Don't let the challenge of training AI hold you back - our cutting-edge embeddable AI libraries can be seamlessly integrated into your enterprise applications.

Image resource: PxHere 
Do you want to unlock the full potential of your workforce with AI - Cut costs, maximize human talent, and tackle higher-value tasks with ease using IBM Research's latest embeddable AI solutions? These days, many organizations are implementing AI to minimize the costs of repetitive and routine tasks that can be performed by technology while maximizing the talent of their human resources. By removing such repeating tasks from human workers' responsibilities, AI frees workers to move to higher-value and complex tasks that technology can't handle.

Yet, training AI can be a bit of a challenge for most companies. It takes time, knowledge, and expertise to do it properly, but don't let that stop you. IBM Research has got you covered. They've recently added three new software libraries to their collection of embeddable AI solutions. These tools can be smoothly integrated into enterprise applications, making it easy to tackle a variety of tasks.

In this guided project, we will take a straightforward approach to show you the magic of embeddable AI. More importantly, we will teach you how to use Flask to deploy machine-learning models, so anyone can interact with them through an excellent user interface and know what you have accomplished. Perfect for developers with experience in Python and HTML, but struggling to implement ML models in their applications. Bridge the gap and take your business to the next level with this easy-to-follow project!


A Look at the Project Ahead

After completing this guided project you will be able of:
  • Transform your application with cutting-edge machine learning models.
  • Master the essentials of Flask and elevate your frontend development skills.
  • Revolutionize the way you order online by building your own voice ordering web app with Flask.

What You'll Need

This project primarily employs Python and HTML to construct the web app. However, prior knowledge of ML is not necessary to get started and we welcome all participants, regardless of experience, to take part in this guided project.

Frequently Asked Questions

  • Do I need to install any software to participate in this project?
    Everything you need to complete this project will be provided to you via the Cloud IDE and it will all be available via a standard web browser.


  • What web browser should I use?
    The Cloud IDE platform works best with current versions of Chrome Chrome(v47+), Edge, Firefox (v25+), or Safari.

Estimated Effort

50 Mins

Level

Intermediate

Industries

Retail, Software Developer, Marketing, Information Technology

Skills You Will Learn

Artificial Intelligence, Natural Language Processing, Web Development, Embeddable AI, AI Application

Language

English

Course Code

GPXX0E8TEN

Released

February 01, 2023

Last Updated

March 08, 2023

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