AI and IoT, Wonders by a mini creature,MBot in this digitized world
Akshaya Khare
Abhinav Maurya
Dongqi Guo
Sarita Joshi
Python 2.7
Pre-requisites:
requirement.txt
google-api-python-client==1.6.2
httplib2==0.10.3
oauth2client==4.0.0
poster==0.8.1
pyasn1==0.2.2
pyasn1-modules==0.0.8
requests==2.13.0
rsa==3.4.2
six==1.10.0
Unirest==1.1.7
uritemplate==3.0.0
webcolors==1.7
Make sure you have appropriate google authentication for connecting to Google APIs, other external APIs mentioned as per the code for sentiment analysis and Image sentiment collection and action.
This MBot is integrated with Facebook messenger platform. Kindly contact us if you want to explore more on it.(joshi.sar@husky.neu.edu, maurya.a@husky.neu, khare.ak@husky.neu.edu, guo.dong@husky.neu.edu)
The system is end-to-end pipelined
Run as follow:
Localhost: Run node server3.js
Exposed API:
Should have a Heroku setup. Run the application as Heroku NodeJS instance.
Platform: Heroku and AWS Cloud REST Endpoints
Time of execution:
For the POC, execution on Heroku -> 3 mins
AWS cloud setup for IoT devices -> 1 hours
Citation: Facebook developer APIs, other integrated platforms with Facebook, Heroku setup and guide AWS IoT tutorial and slideshare Papers on HealthCare industry, Exposed APIs on programmableweb.com Nordstrom search API to hit the available endpoint stackoverflow.com and Google API documentation Based code for a NodeJS application by Professor Jose, NEU.