PROS-Hackathon-2019

The PROS 2019 Hackathon was hosted from July 1st-3rd, 2019. Our assignment was to “Develop a prototype of a solution for a customer need, that uses AI to find meaning in the data.” Our solution was to provide companies with a pricing recommendation solution that uses Artificial Intelligence to take into account historical data, internet search trends and consumer sentiments. We first indentified the customer need of having a more dynamic way of pricing products. Next we implemened a dynamic pricing estimator that utlizied public twitter sentiment data and google trends data anaylsis.

Authors

• Arman Khondker - Twitter Tweet Sentiment Analysis - University of Texas at Austin
• Yuanyuan Liu - Machine Learning Model and Pricing Estimator - Harvard University
• Rita Bechara - Business pitch and competition presentation - University of Houston
• Forrest Bundrick - Google Trends Analysis - Auburn University

Technolgies

• Frontend: Reactjs
• Backend: Python, Flask, TextBlob, Google Trends, SciKit

Acknowledgments

Thanks to PROS inc. for hosting this wonderful Hackathon!