In this project, students used IBM Watson Visual Recognition API to develop an application in order to assess the persons who suffer from depression. 

Final Presentation: Depression Analysis

Application Demo: Depression analysis software demo

In this project, students used IBM Watson Visual Recognition API to develop an application in order to classify the lung diseases. They built a web application framework which classify all the chest X-ray images into 4 different categories of diseases. This application is easy to use and can increase the confidence of radiologists in terms of diagnosis and prognosis. 

Final Presentation: Medical Assistant(Chest X-ray Image Classifier)

Application Demo: Medical Assistant(Chest X-ray Image Classifier) demo

In this project, students used IBM watson conversation and other third party application to develop an application that can predict the stock market value and trend.  

Final Presentation: Stock Market Prediction

Application Demo 1: Stock Market Prediction demo1

Application Demo 2: Stock Market Prediction demo2

In this project, students used the IBM Watson Tone Analyser API to evaluate the customer feedbacks on twitter. Given the increasing popularity of customer service dialogue on Twitter, analysis of conversation data is essential to understand trends in customer and agent behavior for the purpose of improving customer service interactions.

– Measure customer satisfaction

– Evaluate agent performance

– See how conversations start verses how they finish

Using “Customer Service Analyzer” we can analyze conversations

between customers and customer service agents.

Final Presentation: Customer Feedback Analysis

Application Demo: Customer Feedback Analysis Demo