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Kartik Iyengar's Projects

algorithms-for-dna-sequencing icon algorithms-for-dna-sequencing

Codes from Coursera's course Algorithms for DNA sequencing, part of genomic data science specialization offered by Johns Hopkins University

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

ask-dr-watson icon ask-dr-watson

A native iOS app that re-creates a Siri-like experience using the Watson Speech to Text and Question & Answer services, with operational analytics powered by the Advanced Mobile Access service on IBM Bluemix. The native iOS app allows you to ask Watson questions in spoken language, and receive textual responses based on the Watson QA Healthcare data set.

ask-dr-watson-1 icon ask-dr-watson-1

A native iOS app that re-creates a Siri-like experience using the Watson Speech to Text and Question & Answer services, with operational analytics powered by the Advanced Mobile Access service on IBM Bluemix. The native iOS app allows you to ask Watson questions in spoken language, and receive textual responses based on the Watson QA Healthcare

chatsecure-ios icon chatsecure-ios

ChatSecure is a free and open source encrypted chat client for iPhone and Android that supports OTR encryption over XMPP.

chatterbot icon chatterbot

ChatterBot is a machine learning, conversational dialog engine.

dialog-tool icon dialog-tool

Tool to create, manage, and interact with dialogs for the IBM Watson Dialog Service

drone-selfie icon drone-selfie

The drone-selfie project contains an application to take selfies via a Parrot AR Drone 2.0

galaxy icon galaxy

Data intensive science for everyone.

ibmdemoiotsubscriber icon ibmdemoiotsubscriber

Internet of things demo created for IBM session in IIT Bombay on 19 June 2015, using MQTT and IBM IOT Foundation .

investment-advisor icon investment-advisor

The Investment Advisor Demo combines IBM Watson Personality Insights and IBM Watson Tradeoff Analytics services to recommend suitable funds and agents for clients. Fund recommendation is based on client's personality and risk profile. Studies have indicated that risk preference of an individual is correlated to some personality attributes such as Cautiousness and Stability. Each fund, based on it's risk score is assigned a personality portrait. Investment Advisor recommends funds which have similar personality portrait to client's personality.

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