Daily journaling that analyzes your emotions

Evoking mindfulness and improving emotional intelligence.

A web application that promotes personal and psychological hygiene through daily journaling. The journal entries accept text, speech, and video where the media is stored securely on AWS S3. The media is also transcribed with Web Speech API where the text is indexed in MongoDB and fed into IBM Watson API for tone analysis of entries. Video entries are being analyzed with Affectiva emotion recognition, and all entries can be collected and viewed with beautiful charts and visualizations. A call can also be scheduled to remind you of your entries. A Cron job is periodically scheduling those calls with the Twilio API, and for best results, it is highly recommended to use wake-up calls so that you streamline your thoughts as soon as you wake up. All entries are available to be viewed after submission and can be searched in real-time using Elastic Search.

Schedule Calls

Analyze Personality

Create New Entries

View Saved Entries

• Brandon Wong
• Eugene Song
• Tim Nguyen
• Whitney Zhu

1. Usage
2. Requirements
3. Development
   1. Installing Dependencies
   2. Tasks
4. Roadmap
5. Contributing

This repository is the source of truth for MindFits application, used to:

• Get a better understanding of underlying technologies that we used to build MindFits
• Contribute to the project by openning pull request against the dev branch
• Test existing APIs and components

• React (ES6)
• React Router
• Redux
• Material-UI
• Sass
• Web Speech API
• RecordRTC
• Affectiva
• ChartJS
• VictoryJS

• Node
• Express
• MongoDB

• Heroku
• AWS S3
• Twilio
• IBM Watson
• Cron
• Elastic Search

• Node 6.4.x
• React 15.0.x
• React-redux 5.0.x
• Elastic Search 13.0.x

From within the root directory: clone down the repo

git clone https://github.com/bewty/bewty.git

cd to the root directory of the project

cd ./bewty

install dependencies

npm install

start database

mongod

Note: if this fails, try sudo mongod

stand up server

npm run dev-server

start webpack

npm run dev-build

start hacking!

Follow steps for installing Elastic Search https://www.elastic.co/downloads/elasticsearch

Create .env file to manage Watson, Twilio, AWS, and Elastic Search credentials as shown below

WATSON_ID= 
WATSON_PASS= 
TWILIO_ACCOUNT_SID=
TWILIO_SECRET= 
TWILIO_AUTH_TOKEN= 
TWILIO_TO= 
TWILIO_APP_SID= 
TONE_ID= 
TONE_PASS= 
AUTH0_CLIENT_ID= 
AUTH0_DOMAIN= 
AWS_ACCESS_KEY_ID= 
AWS_SECRET_ACCESS_KEY= 
AWS_S3_BUCKET= 
BONSAI_URL= 
MONGODB_URI= 

View the project roadmap here

See CONTRIBUTING.md for contribution guidelines.