Inspiration
One of our members, Alex Marwaha, went to Johns Hopkins for a college visit one day. During his visit, he noticed that researchers spent a significant amount of time searching and compiling articles for research. The process of compiling these articles took place in "Journal clubs," where various other scientists convened to discuss important medical papers. After consulting with researchers at Johns Hopkins, Alex found out that this process was time consuming and tedious for the researchers. Alex thought to himself, "how could this process be streamlined?" The result of his thinking was #TrendingInMedicine, a modern webapp based off Twitter.
What it does
TrendingInMedicine is a web application that complies various critically acclaimed journals and creates a list of "Trending" topics and words. The goal of the application is to enable researchers to easily access these top trending articles, and to make the process of finding meaningful articles easier and faster.
How I built it
TrendingInMedicine is a simple html/css/javascript based webpage with a php backend to enable the webapp to compile live data from journals. The style of the website was created using materializecss and hosted by heroku.
Challenges I ran into
We ran into a lot of challenges, particularly because we needed to handle large amounts of data. As a group, we got absolutely zero sleep and fought hard through problems we encountered.
Accomplishments that I'm proud of
It functions to an extent and it looks pretty nice.
What I learned
Backends are near necessary for a fully functioning, dynamic webapp.
What's next for #TrendingInMedicine
Adding artificial intelligence to propose recommended articles, making the rest of the app more polished
Built With
- big-parser
- css
- css3
- csv
- heroku
- html
- html5
- javascript
- materializecss
- php
- python
- science-direct
- sublime-text
Log in or sign up for Devpost to join the conversation.