How-old.net: What’s The Magic Behind All This?

This may be hard to believe but it took a couple of developers just a day to put this whole solution together, from the web page to the Machine Learning APIs to the real time streaming analytics and real time BI. This turned out to be a great example of the agility and creative power Azure developers get. The key components of this application are:

  • Extracting the gender and age of the people in these pictures.
  • Obtaining real time insights on the data extracted above.
  • Creating real time dashboards to view results.

Guess My Age – How old do I look?

Madona how-old net

Extracting Gender and Age

They wanted to create an experience that was intelligent and fun could capture the attention of people globally. They looked at the APIs available in the Azure Machine Learning Gallery.

The gallery contains many finished intelligent services for Face, Speech, and Vision which are part of a new suite called Project Oxford from Bing and Microsoft Research. The Face API has a demo page that uses the API to detect and extract information about faces in a photograph.

Thay found the ability of the face API to estimate age and gender to be particularly interesting and chose this aspect of it for our project.

To make the experience more fun we used the face API alongside the Bing Search API from the Azure marketplace to create http://how-old.net.


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