Cognitive Head Hunter is a cognitive based system to designed to help both a candidate and a HR professional make a good match more quickly and more reliably using Watson to read and extract cognitive information from the both the candidates providing a better match between them, not only by analyzing keywords but also by understanding the concepts outlined within a resume or a job posting.

Concept Insights - The Concept Insights service links documents that you provide with a pre-existing graph of concepts based on Wikipedia (e.g. 'Cognitive Systems', 'Solar Energy', etc.). Users of this service can also search for documents that are relevant to a concept or collection of concepts by exploring concepts that are explicitly contained in your queries or are implicitly referenced through related concepts. More about this service here.

Personality Insights - The Watson Personality Insights service uses linguistic analytics to extract a spectrum of cognitive and social characteristics from the text data that a person generates through blogs, tweets, forum posts, and more. More about this service here.

Click on the buttom bellow to deploy your own copy of Cognitive Head Hunter into your Bluemix account.

And that's about it! You successfully just created a Node.js application in Bluemix together with a Concept Insights, Personality Insights and Mongo Lab services required to this project.

Now it's time to configure your project.

1. Fork or clone this repository.

2. Open your terminal and navigate to your cloned/forked project in your system.

3. Push your application to Bluemix using no manifest file. Type cf push <application-name> --no-manifest in your terminal.

4. Go to your Bluemix app which you just created in your Bluemix account.

5. Include a Concept Insights service in your application.

6. Include a Personality Insights service in your application.

7. Include a MongoLab service in your application.

8. Create two USER_DEFINED Environment Variables in your bluemix app named LINKEDIN_APPKEY and LINKEDIN_APPSECRET, initially with no values.

9. Restart your application.

Now you just need to configure your project, follow the instructions bellow.

This application uses LinkedIn integration so you will have to create an application on it as part of the steps below.

1. Create a new LinkedIn application to obtain keys needed in our integration. You can create it here

2. Go to your application page at Bluemix and update the value of the two USER_DEFINED under Environment Variables.

3. Restart your application.

4. Go to <application-name>.mybluemix.net to see your own copy up and running!

Watch the live demo video at https://vimeo.com/ibmwatson/review/130135189/c27aa6828b

• Alan Braz - [email protected]
• Paulo Cavoto - [email protected]
• Paulo Caldeira - [email protected]

To troubleshoot your Bluemix app the main useful source of information are the logs, to see them, run:

$ cf logs <application-name> --recent

This project code is licensed under Apache 2.0. Full license text is available in LICENSE.

See CONTRIBUTING.

Find more open source projects on the IBM Github Page