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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!

After completing this guided project you will be able of:

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.