A web server, created using Flask, serves as a content farm. It automatically generates random quotes and presents them to the user in a doom-scroll environment, aiming to generate ad revenue.
Why not? Just kidding.
To keep it simple: one day, while experimenting with my favorite algorithm, the Markov Model, I had an idea. I downloaded a large collection of quotes and applied the Markov model to them. After generating the quotes, I needed to find a purpose for them. After much thought, I decided to create a content farm. This concept is fully automated and future-proof, allowing me to run Google ads without much maintenance post-deployment, while providing users with an endless stream of content.
(Details about the implementation process go here.)
During the development of this project, I consumed 24 pizzas.
Please read the license before using any of the code in this repository in any way or form.