Deploying Box Custom Skills with Watson Natural Language Understanding
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Updated
Jun 24, 2020 - Python
Deploying Box Custom Skills with Watson Natural Language Understanding
Helpful python scripts and examples for using the Watson Retrieve-and-Rank as well as Discovery APIs to setup and evaluate a Question & Answer system
📺 Making digital displays on kitchen appliances accessible for the blind.
In this project, I make use of the embedded Watson AI libraries, to create an application that would perform sentiment analysis on a provided text.I then deploy the said application over the web using Flask framework.
Using Language Translator from IBM to translate user's input and Watson Assistant responses to Portuguese.
API in Python to send and get an answer from Watson Assistant v2
📞 Simple telephone game using IBM Watson's language translation service + flask.
It shows the top 5 traits shared between the two Twitter users (for example: you and a celebrity of your choice).
A python project that converts a handful of speech videos into a desired song.
Flask for training/testing Watson, FastText, Gensen Embeddings and hDBScan. Plus it supports MLFlow for model info logging.
API for running asynchronous queries on a database.
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