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Three Letter Database
The Three Letter Database is a collection of every three letter acronym for any organization, airport, college or stock ticker. There is at least one entry for any given acronym (except for the obvious profanities), and every entry in the database contains information about the organization, as well as a link to their website. All information was web-scraped and intelligently parsed by an AI to find the most relevant organization for each acronym. Have fun searching!
Airports
Colleges
Stocks
Organizations
Find Acronyms
To find the given results for any combination, type in any three letter capital acronym. For example, "AAC", and press enter.
Feeling adventurous? Click the button below to discover a random acronym in the database. You will be surprised.
Database Source Code
All of the web-scraping code for this project was written in Python and is open source via the GitHub link below. Anyone is able to view and duplicate the code, as long as original credit is provided. A list of the libraries that will need to be installs is provided on the repository, as well as additional information regarding the scale of this project.
Suggest an Acronym
See an organization that you're a part of not appear on this database? See any incorrect or missing information? Since all of our data is collected and parsed by AI, there are likely many mistakes. Please fill out the form below to recommend a replacement, or provide more organizations for our database.
About the Creator
My name is Jack, and I am a high school student working in AI and robotics. With this project, I wanted to get experience working with large amounts of data and using a Python SQLite3 database to store all of this information. I also spent a lot of time developing the front end of the database to make this the premiere collection of three letter acronyms.
Jack Blair
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