Project Owl is a proof of concept AI powered application that aims to demonstrate how the Expert AI Natural Language API can be used for auditing and gaining insight from customers by analyzing audio recorded calls at call centers. Project Owl employs the Sentiment Analysis and Taxonomy features of the NLP API to analyse and prioritize customer service complaints and also provides insight on the customer emotional state respectively.

The inspiration for this project is to experiment how a call center issue management system can be automated for customer serving financial institutions such as banks and fin-tech companies.

You can view the demo here

You can try the live application here Live site

• Create React App
• Azure SignalR Service
• Axios
• WaveSurfer

To run the application locally, please follow the steps below.

• Visual Studio Code

1. Clone the repo
2. Run yarn to install dependencies

In the project directory, you can run:

Runs the app in the development mode.
Open http://localhost:3000 to view it in the browser.

The page will reload if you make edits.
You will also see any lint errors in the console.

Please refer to the demo