Diabetes Diagnose box

Inspiration

First we wish to do a chat robot, but then we want to find more application about such robot not just build a general one, and then we find the database for diabetes, so we finally decide to do that

What it does

How we built it

Using Alexa to interact with the patients, let the patients to provide the information and feed the information to the model we build and get the predcition

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for Diabetes Diagnose box

Built With

Submitted to

HackRU XIII
- Winner Amazon Web Services - Best Use of AWS

Created by

I mainly do the search and analysis job. Since our primary goal is to develop health product, so the database about diabetes is found by my with the help of the mentor. And then I do the data analysis using several machine learning techniques, train the model with the given database and got 75% accuracy

Boyang Fu
I mainly designed the Alexa app to interface with the machine learning backend.
To do this, I utilized Amazon Web Services lambda functions.

Samyak Gupta
I mainly did research into datasets to help implement to the machine learning and helped with inputs to the program to have the AI give results.

Sanjit Singh
Computer Science Major. Love Programming, Engineering, Building cool stuff, Being Creative and coming up with my own ideas.

Updates

Boyang Fu started this project — Oct 15, 2017 10:24 AM EDT

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