##KA-VR - Web Assistant for the World
KA-VR is a virtual assistant that uses natural language processing to listen to a user's voice to execute tasks. Machine learning algorithms are implemented in such a way that KA-VR progressively learns a user's choice of words, such as actions, verbs, and context.
##Technology Stack
- React.js
- Redux
- Three.js
- Node.js
- Express
- Neo4j
- MySQL
- MongoDB
- Redis
- Docker
- Amazon Web Services
##Example / Usage Sign up for an account by going through the user flow. Once an account is established, voice commands can be used to search for web images, grab a video, get the weather for a location, or bring up top restaurant recommendations.
Example Voice Commands:
- Calculate 32 divided by 4
- Search Yelp for Coffee Shops in San Francisco
- Play Video of Dogs
- Search for news of San Francisco
A helper modal can be brought up by saying "help" after pressing "start".
Additionally, a command text box is available for commands to be entered.
##Getting Started
Go to the following sites and follow the directions to get API keys:
On every service's root directory where package.json file lies, run:
npm install
Create a .env file that includes the following API keys (Open Weather Map, YouTube, Yelp) in the apiserver service root directory:
APPID=''
YOUTUBE_API_KEY=''
YELP_CONSUMER_KEY=''
YELP_CONSUMER_SECRET=''
YELP_TOKEN=''
YELP_TOKEN_SECRET=''
On the main start folder, run:
bash start.sh
On separate terminal windows, run:
mongod
redis-server
mysql.server start
npm run seed
Download Neo4j, open the directory of the database, and start the application.
Go to localhost:3000 to see the application.
- Improve machine learning algorithm
- Integrate Google Calendar as a widget on the dashboard
- Gmail notifications
- Additional authentication methods, such as Google
- Soundcloud music
- Spotify music
- Uber estimated times, requests
Product Owner: Rodaan Rabang
Scrum Master: Victoria Tran
Development Team: Alex Lee, Kent Lee,
"Distributed under the MIT License."