What you will learn ?

• Real-world how IT projects are implemented
• Implement project using Application,Node.js, IBM Watson , Cloud
• Capture Requirements of the project using Use Case Modelling (Stakeholders, Personas, Main Scanario, Alternate, Negative, Edge Cases)
• Define Functional & Non-Functional Use Cases
• Create project design using UML Modelling
• Implement project coding using code respositories.
• How Google Analytics, Search Engine Optimization(SEO) are implemented.
• How UX Banners are created.
• Testing using unit tests(create & execute)
• Deployment of the project in cloud
• User Acceptance Testing - How client identify issues, how you fix issues
• Go Live of the project

Description

Rather than relying on your own assumptions, how can you be sure what exactly your customers are saying about your business? The answer is in being able to analyze raw customer feedback in reviews, forums, and so on. Through the use of various UI components, the Node.js app in this code pattern demonstrates how to extract and visualize enriched data provided by the Watson Discovery engine. The data is further enhanced by a custom-built Watson Knowledge Studio model created specifically for handling food review type data. You can use the multiple UI components in this app as a starting point for developing your own Watson Discovery applications.

As you learned in previous code patterns, the main benefit of using Watson Discovery is its powerful engine that provides cognitive enrichments and insights into your data. The app in this code pattern provides examples of how to showcase these enrichments through the use of filters, lists, and graphs.

With Watson Knowledge Studio, you can teach Watson about additional entities and relationships that go beyond its default entity extraction and enrichment process with a custom annotation model. Through the use of annotations, you can indicate entities and entity relationships on a small subset of documents, which can then be applied to a much larger set of similar documents. This model can then be applied to a Watson Discovery instance and incorporated into the Discovery enrichment process as documents are uploaded into the service.

When you have completed this code pattern, you should know how to:

1. Load and enrich data in Watson Discovery

2. Use Watson Knowledge Studio to create a custom annotation model

3. Deploy a Watson Knowledge Studio model to Discovery

4. Query and manipulate data in Discovery

5. Create UI components to represent enriched data created by Discovery

6. Build a complete web app that uses JavaScript technologies to feature Discovery data and enrichments

FLOW

1. Import the customer reviews into the Discovery collection.

2. Load a sample set of review documents into Watson Knowledge Studio for annotation.

3. Create a Watson Knowledge Studio model and train the model.

4. Deploy the Watson Knowledge Studio model to a Watson Discovery instance.

5. The user interacts with the back-end server through the app UI. The front-end app UI uses React to render search results and can reuse all of the views that the back end uses for server-side rendering. The front end uses semantic-ui-react components and is responsive.

6. Process user input and route it to the back-end server, which is responsible for server-side rendering of the views to be displayed on the browser. The back-end server is written using Express and uses the express-react-views engine to render views written using React.

7. The back-end server sends the user requests to Watson Discovery. It acts as a proxy server, forwarding queries from the front end to the Discovery API while keeping sensitive API keys concealed from the user.

Timelines : 8 weeks

Project will go through the phases of scope, design, coding, unit testing, UAT, Award(Go Live)

On Successfull Completion, you get following prize & certificates (Sample):

Winner will be chosen for each phase(scope,design,coding,unit testing,UAT,Go-Live) of the project, cash prize from CEW ′, certificate, cloud credits will be provided for each phase.