All Posts by Shyam Purkayastha


About the Author

Shyam is the Creator-in-Chief at RadioStudio. He is a technology buff and is passionate about bringing forth emerging technologies to showcase their true potential to the world. Shyam guides the team at RadioStudio, a bunch of technoholiks, to imagine, conceptualize and build ideas around emerging trends in information and communication technologies.

Sep 02

How Blockchain can Revolutionize Agricultural Supply Chain – Part 1

By Shyam Purkayastha | Blockchain

Information sharing has become the cornerstone of our daily activity. It has many modes like in the case of sharing information between two different companies, departments within an organization or among a group of individuals. When this information sharing becomes a requirement as part of a business process, it becomes all the more necessary to nurture it effectively. This greatly assists in improving the efficiency of the process and conducting audits when the need arises. Blockchain is one of those emerging technologies which is finding newer applications every day and many of these applications are addressing the problem of authentic information sharing.

Jul 07

Build an Interactive and Visually Driven Online Campaign with Watson Visual Recognition

By Shyam Purkayastha | Machine Learning

There are many occasions where visual content delivers more engaging and enriching experiences than the typical data-driven approach. Using IBM Watson Visual Recognition service, you can analyze and extract objects from images to gather quantitative data.

In this tutorial, you’ll leverage Watson Visual Recognition to build a worldwide campaign to experience the power of visually-driven data stories. The tutorial will show you how to leverage the IBM Watson Visual Recognition capabilities to build an interactive, image-driven storyline.

Jun 27

Model IoT Application For Tracking Kitchen Inventory

By Shyam Purkayastha | Internet of Things

What goes together better than the Internet and food? But there’s more to this delicious combination than just posting photos of last night’s meal on Instagram. Continuing our theme around the “Internet of Things,” we present another possibility from this game-changing technology. This time, it is a use case on IoT for inventory management. In this blog post, we’re going to use IBM Bluemix and PubNub to build an application that will transform any dumb kitchen by enabling automatic inventory tracking. You’ll never run out of bacon again!


May 11

Beat the Rush Hour Traffic with Machine Learning using Tensorflow

By Shyam Purkayastha | Machine Learning

TensorFlow is one of Google’s flagship machine learning toolkits. Originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization, Tensorflow found adoption in conducting machine learning and deep neural networks research. Subsequently, it was open sourced and is now available as a general purpose ML toolkit for a wide variety of applications. In this blog post, we will show you how to use the kNN routines of Tensorflow to solve a fundamental problem of city commuters, the traffic jams.

Apr 26

Have a Dialog with Your Home via Watson Conversation Service

By Shyam Purkayastha | Cloud Computing , Internet of Things

Man’s desire to be a part of the social ecosystem has led to the invention of many communication and information sharing tools. This trend is now morphing to include use cases where we interact with non-living things, as well. Let’s look at one such application where we can communicate with our things through chat, just like way we would Whatsapp our family and friends.

Feb 22

Build a real-time recommendation engine with IBM Bluemix and PubNub – Part 2

By Shyam Purkayastha | Machine Learning

This post is the follow up to my previous post in which I presented a real-time recommendation engine project around predicting duration of travel. In that post, I explored the factors affecting travel duration and looked at how, with the help of historical data, you can build an algorithm for predicting travel duration for a given route. Now, I will conclude the project by building an application that can help users plan a trip by providing real-time travel recommendations based on current traffic and weather conditions.

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