Inspiration
We personally know international students who have had experiences where they advance through several rounds of application and interviews, but are told after a final round or during a superday that the hiring company won't take them on as interns since they require H1-B visas.
What it does
Scrapes the Department of Labour's database for all companies that file for H1-B visas, cleans the data and presents users with companies that are willing to sponsor H1-B visas so students can focus their time on applying to internships that actually will accept them.
How we built it
We built a front-end interface using JavaScript and a back-end that filters and cleans the data (placing into an easily usable API format) from the Department of Labour database.
Challenges we ran into
We had a lot of issues with integrating the front end and back end, but through a bit of research we were able to figure out how to run the two together. We especially ran into issues gathering the data from the US Department of Labor. Since the DOL does not have a dedicated API endpoint for their public Labor Condition Application, we had to innovate with a two-part solution: a web scraper + downloadable backup and our own FastAPI. In other words, in the absence of an API, we made up for the SponsorSearch platform.
Accomplishments that we're proud of
Built a fully functional user interface that interacts with a complex backend that cleans and processes messy data on a large scale.
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