Pbhackathon 2016
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Questionansweringsystem | 1,628 | 19 | 5 years ago | 2 | September 26, 2015 | 3 | apache-2.0 | Java | ||
| QuestionAnsweringSystem是一个Java实现的人机问答系统，能够自动分析问题并给出候选答案。 | ||||||||||
| Node Sdk | 1,480 |  | 3,754 | 137 | 5 months ago | 220 | March 29, 2019 | 22 | apache-2.0 | TypeScript |
| :comet: Node.js library to access IBM Watson services. | ||||||||||
| Python Sdk | 1,440 |  | 48 | 27 | a month ago | 40 | August 09, 2023 | 5 | apache-2.0 | Python |
| :snake: Client library to use the IBM Watson services in Python and available in pip as watson-developer-cloud | ||||||||||
| Susi_linux | 1,418 | 3 years ago | 45 | apache-2.0 | Python | |||||
| Hardware for SUSI AI https://susi.ai | ||||||||||
| Speech To Text Nodejs | 1,050 |  | 2 | 9 months ago | 22 | October 11, 2021 | 26 | apache-2.0 | JavaScript | |
| :microphone: Sample Node.js Application for the IBM Watson Speech to Text Service | ||||||||||
| Ffdl | 678 | 5 months ago | 1 | April 27, 2019 | 43 | apache-2.0 | Go | |||
| Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes | ||||||||||
| Java Sdk | 583 | 22 | 2 months ago | 48 | April 04, 2019 | 8 | apache-2.0 | Java | ||
| :1st_place_medal: Java SDK to use the IBM Watson services. | ||||||||||
| Unity Sdk | 567 | 2 years ago | 1 | apache-2.0 | C# | |||||
| :video_game: Unity SDK to use the IBM Watson services. | ||||||||||
| Personality Insights Nodejs | 514 | 3 years ago | 2 | February 22, 2019 | 2 | apache-2.0 | JavaScript | |||
| :bar_chart: Sample Nodejs Application for the IBM Watson Personality Insights Service | ||||||||||
| Classifai | 483 | 2 days ago | 68 | gpl-2.0 | PHP | |||||
| Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. | ||||||||||
Palm Beach Hackathon 2016 Entry
Guided Tour & Survey
About
This project is for an entry in the 2016 Palm Beach Hackathon - http://hackathon.palmbeachtech.org/
The goal for this entry is to creatively solve the River Center's (http://lrdrivercenter.org/) and the Science Center's (https://www.sfsciencecenter.org/) need to have interactive, interesting exhibits while getting feedback from visitors.
This app walks visitors through a guided tour of exhibits, using artificial intelligence (IBM Watson), to best choose which exhibits match visitors' interests. Visitors are able to talk to a virtual guide and be directed to their interest, audibly. The virtual guide can also ask the visitor questions while at an exhibit, thus getting valuable feedback. The virtual guide will store the feedback along with a tone analysis of the visitor to determine if they were confused, happy, intrigued, angry, while at the exhibit.
Technical
The app makes use of the following technologies:
- IBM Watson for AI
- Conversation AI
- Tone Analyzer AI
- Text to Speech AI
- Speech to Text AI
- NodeJS for hosting the web app as well as serving up API's
- API Connect's Loopback framework for creating API's in Node
- A simple in-memory, flat file database to store survey results
- Web app (HTML/CSS/JS)
Architecture
To run this on your own
You'll need NodeJS and NPM installed. You'll also need an IBM Bluemix account to use Watson (it's free).
-
git cloneor download this repo npm install- Create a
credentials.jsfile in the root of the project and supply the appropriate keys (there is a samplecredentials.sample.jsyou can rename and use). node .- Visit
localhost:3000/for the website. Visitlocalhost:3000/explorerfor the API docs
You'll also need to train Watson on how he can help your users. Here are some screenshots of examples
of the setup for this entry. You can also use the sample-watson-conversation-workspace.json file to import
settings in to your Watson Conversation workspace (should get you up and running quickly). Note that this workspace
will have data for things in the everglades: animals, concepts, etc. of the everglades.
NOTE: You might need to create a ./uploads folder if you experience an error that it doesn't exist.
License
Open Source, Apache 2.0 license. Please see LICENSE.md
