📱 The Watson Swift SDK enables developers to quickly add Watson Cognitive Computing services to their Swift applications.
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Updated
Dec 5, 2023 - Swift
📱 The Watson Swift SDK enables developers to quickly add Watson Cognitive Computing services to their Swift applications.
Fast text based video editing, node Electron Os X desktop app, with Backbone front end.
WARNING: This repository is no longer maintained
WARNING: This repository is no longer maintained
Angular JS K9 robot controller, designed primarily for use on a iPad or Android touch device as a virtual joystick. Also visualizes the robot's surroundings using camera and sensor data.
Python helper for Google and IBM Watson speech-to-text cloud APIs.
IBM Watson Text to Speech PHP Library to convert written text into natural-sounding audio in a variety of langauages and voices using IBM Watson Text to Speech Service
Allows you to easily add voice recognition widget to Algolia InstantSearch.js created by Lextenso
A react native app using the ibm watson api. Working with Speech to Text and Text to Speech
This Project is a how-to guide on creating a basic youtube transcriber web app on IBM Cloud Using Watson Speech to Text service and node-red
A banking assistant that works using the ibm watson service
Automatically create YouTube mashups. Given videos and a text, AutoMash will cut the videos together so the speakers in the video appears to says the given text.
Sample AngularJS Application for the IBM Watson Speech to Text Service
Voice Controlled Robotic Arm (MVP) with IBM Bluemix
Usage of smartphone to capture images is a very common occurrence today. However, people with vision problems might not be able to clearly see the pictures. I've developed a Cognitive app which uses Visual Recognition & Text-to-Speech Conversion Capability of IBM Watson which allows both normal person or a person with some eye condition(Blurry v…
IBM Watson SDK php
An IDE plugin for developers who would like the code read to them, out loud.
ResearchGram is a AI based tool that leverages Machine Learning, NLP and cloud computing to generate research paper recommendations from over 500,000+ research papers in our dataset (subset from the Arxiv dataset) based on the input provided by the user (input can be provided in various image,video,audio and document formats).
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