By 2050,16% of the the Global Population will be the elderly. Around 1.5 billlion people will be above the age of 65. Professionals will not be able to cope up with this increased demand for quality healthcare. Many elders don't get in-time treatment, and emergency is always a fear for the children. Artificial Intelligence is the solution.

What it does

  • Diagnose disease
  • Offer medicine recommendations
  • Send daily reports
  • Create emergency calls to 911
  • Process injury images

Technology we used

  • MongoDB
  • Node.js
  • Express.js
  • Python
  • JavaScript
  • Twilio
  • Amazon Echo (hardware)
  • Camera (hardware)
  • Machine Learning
  • Computer Vision

Challenges we ran into

  • Integrating the Naive Bayesian and Decision Tree Models for our Limited Test Set data.
  • Run python file in Node.js

Accomplishments that we're proud of

Integrating and building the backend for Alexa.

What we learned

How to Integrate the Back end with the Cloud services and an Intelligent Speech to Text System

What's next for Dr. Jarvis

Larger Data Set and utilzing Deep learning Convolutional Nerual Networks for multiclass classification. High Resolution Camera to be integrated with the System for Image to detect visible skin diseases from a persisting trained data set.

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