##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
• Example / Usage
• Getting Started
• Architecture
• Team Members

##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:

• Open Weather Map
• YouTube
• Yelp

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."