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  BackgroundMedical

EasyShot

Medical assistance as close as a phone call.

Authors:

Chripstopher Dharma - CS at Illinois Tech

Ekrem Guzelyel - CS at Illinois Tech

Aakef Waris - CS at Illinois Tech

Zhimin Zao - CS at DePaul

Harry Gollakota - Math&CS at DePaul

Purpose:

Easy access to medical information for low income communities. We answer your questions and direct you to nearest medical location.

Method:

We are using many apis, algorithms, tools...

APIs Used:

We use Flask, Python, Alexa Skill-kit Developer Tools, Twilio, SQLite, Node.js, Jupyter Notebook, Natural Language Processing, nltk, etc.

More description will be added later.

Data Usage:

We have two main data that are taken from Chicago Data Portal for flu shot locations[1] and primary care centers[2] that are csv type. Both of the tables have features such as the name of the center, address, geolocation, zip code, and some data specific entries.

Main Files:

There are many files; this section has to be updated.

References:

[1] https://data.cityofchicago.org/Health-Human-Services/Flu-Shot-Locations-2014-Present-2018-2019-Season/c576-j7vj [2] https://data.cityofchicago.org/Health-Human-Services/Public-Health-Services-Chicago-Primary-Care-Commun/cjg8-dbka

More Information:

awaris@hawk.iit.edu eguzelyel@hawk.iit.edu cdharma@hawk.iit.edu hgollakota@gmail.com .. ..

Built With

• alexa
• flask
• javascript
• jupyter-notebook
• natural-language-processing
• nltk
• node.js
• python
• sqlite
• twilio