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IBM Code

Solve specific problems quickly.

On IBM Code, everything you need to solve real problems is compiled into a developer journey: architecture diagrams, one-click deployment git repos, and pointers to essential docs.

Don’t see the problem you’re trying to solve? Connect with a developer advocate and suggest a new journey.

Featured Journeys

Model FDA Foreign Supplier Verification Program requirements

In this journey, we capture the regulatory compliance logic for the FDA Foreign Supplier Verification Program in a smart contract deployed on a business network.


Enrich multimedia files using services

Use the IBM Watson Node.js SDK to create a web UI app that enriches multimedia files using speech-to-text conversion, tone analysis, natural language understanding, and visual recognition processing.


Integrate a financial investment portfolio

Retrieve portfolios from financial institutions using the Quovo Aggregation API and load the data into the Bluemix Investment Portfolio service.


Featured Technologies

Analytics

Finding patterns in data to derive information.

Artificial Intelligence

Cognitive technologies that can understand, reason, learn, and interact like humans.

Container Orchestration

Containers are virtual software objects that include all the elements that an app needs to run.

Featured Open Source Projects

QISKit API

The lightweight QISKit API is a thin Python wrapper around the Quantum Experience HTTP API that enables you to connect and execute OPENQASM code.


TJBot programmable robot

TJBot is a do-it-yourself kit that enables you to build a programmable cardboard robot powered by IBM Watson. It is part of the IBM Watson Maker Kits, a collection of DIY open source templates to connect to Watson services in a fun way.


Jupyter Enterprise Gateway

A lightweight, multi-tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across an Apache Spark cluster.


Recent blog posts

Correlating documents with Watson, Jupyter, NLTK, and DSX

Businesses are challenged by the ever-increasing amount of unstructured data. This data can be from documents, websites, social media, e-mails, and other sources. As a result, it is becoming more important to analyze this data to derive insights to make informed business decisions. Text analytics involves getting insights from unstructured text content. A common requirement...

Continue reading Correlating documents with Watson, Jupyter, NLTK, and DSX

Analyze captured food images using Watson Visual Recognition

This food tastes yummy, but is it healthy? The new developer journey Create an Android calorie counter app helps you with nutritional information of the captured food image. It is a mobile app that can analyze captured images using Watson™ Visual Recognition and come back with nutritional information using Nutritionix API. Watson has a pre-trained...

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Using computer vision to filter PlayerUnkown’s Battlegrounds live streams

eSports have been gaining traction ever since multiplayer video games started to emerge. One reason for the growth can be attributed to the availability of streaming platforms. Both professional and regular players like to share their experience in playing the game, and players around the world love to watch them. One popular streaming platform is...

Continue reading Using computer vision to filter PlayerUnkown’s Battlegrounds live streams

Create a serverless Alexa skill with context memory powered by Watson and The Weather Channel data

Many people assume IBM Watson™ is a digital assistant of sorts, competing with the others in the market. But actually, Watson is essentially a suite of technologies, many made available for developers to use in conjunction with whatever else they choose. That includes Amazon’s smart home assistant, Alexa. To that end, our new developer journey...

Continue reading Create a serverless Alexa skill with context memory powered by Watson and The Weather Channel data

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