Hackathon_Fall2018

Hack-A-Roo (Hackathon event) at UMKC (Fall 2018)

Presco_HackathonF18

Application name - Presco. An application to understand, analyse and predict prescription drug usage of medic-aid population, which will enable the local government and health plans to reduce spend

Team Name: The Trio

Members:

• Sneha Mishra
• Harshini Medikonda
• Kaza, Vidyullatha Lakshmi 

Technology Used:

• Platform used - Unix

• Frontend - HTML, js, css

• Backend - JAVA, unix and shell scripting

• Technologies & Tools - REST APIs, CURL, Tableau, Microsoft Excel, Intellij

Architecture:

Architecture for the the Automation, including fetching the datasets automatically to generate the different JSON responses for the different analysis categories.

Features:

• To understand and predict prescription drug usage of medic-aid population, which will enable the local government and health plans to reduce spend.

• Prediction of drug usage for 2019.

• Analysis of the provided datasets.

• Integration of different web technologies to create a website for the information.

• Implementation of different predictive models.

• Visualization of data.

Youtube Videos:

Application Demo can be found here

PPT:

PPT for the project, explaining the features and architecture can be found here

Code for the Project:

The code (JAVA, curl, unix) for the project can be found here

Code Snippet for the Project:

JAVA code snippet:

Shell Script code snippet:

Output Screenshots for the Project:

Web Page Screenshots:

Home Page:

Analysis Pages:

Prediction Page:

Take Back Meds Page:

About Page:

References:

1. https://dev.socrata.com/foundry/data.medicaid.gov/rk4x-vkz6
2. https://data.medicaid.gov/State-Drug-Utilization/Drug-Utilization-2018-Wyoming/vavg-yhx4
3. https://github.com/SaiMohith/Hack-A-Roo-2018-Spring