Team: Groceries Help Women in STEM

Team Members:

Best Hack for Social Good

In today's society, women and gender minorities are more driven than ever to pursue careers in science, technology, engineering, and math. However, we recognize that it takes more than wishful thinking and hard work on behalf of women and gender minorities themselves to propel the demographic forward in these fields; on the one hand, contributing to women’s and gender minorities’ success in their pursuit of STEM training requires initiative from interested, everyday people who would like to reach out. On the other hand, investing in creating a social culture where supporting such innovative and ambitious people is both celebrated and normalized can lead to positively changing cultural attitudes about what ladies can do, how we perceive this demographic, and how we can all participate in lifting them up. We noticed a great opportunity to work with Wegmans, a friendly and family-oriented business, to make supporting women and gender minorities in STEM very easy to achieve. Our application rounds up the total of a customer’s purchase at Wegman’s, and donates the difference to a local organization, such as WIC, that supports women and gender minorities in STEM.

Website

We used EJS (Embedded JavaScript templates) for front end, which is a templating language that allows you to generate HTML. EJS was used as a templating engine for Node.js for backend, specifically Express.

The home page of the webpage is a simple navigation page that allows users to login/signup to an account where they view their transaction history, how much money was donated to a STEM organization of their choice, as well as explore a selection of Women in STEM Organizations the customer might consider contributing to.

Examples of Women in STEM Programs You Can Support
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WiCs
National Girls Collaborative Project
Women in Engineering Proactive Network
Million Women Mentors
American Association of University Women
Association for Women in Science
Scientista
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iOS Mobil App

We used Xcode (an integrated development environment for MacOS) to develop an iOS application using Stroyboards. The application allows users to login/signup to an account where they view their transaction history and how much money was donated to a STEM organization of their choice.

I worked on learning how to navigate Postman in order to extract information from the Wegmans API. It was my first time working with the software and an API. The intention was to use python to extract data from every product available at Wegmans in order to generate receipts containing random Wegman's products. We'd then calculate the total sum for the randomized receipt and round the dollar amount up. The difference in change would represent a donation amount that a hypothetical customer could give to STEM organization.

Teresa and I were interested in Machine Learning applications of a grocery dataset. I spent time learning about Market Basket Analysis and learning how to use the Apriori algorithm using MLxtend to build a grocery recommendation system. We didn't have time to implement it, but it was fun to learn about.

Genesis Valencia
Haeim Lee
mcvuong

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