Frontend:
On the frontend, we ran into many challenges when dealing with the specific formatting of CSS. Due to the many moving parts in the project, the CSS was often finicky and required a lot of attention when building each page of the website. Connecting the frontend to the backend also posed a slight challenge as we then noticed that it was necessary to edit the setup of a couple components.
Backend:
The backend posed a great deal of challenges in terms of being able to web scrape the data and utilize it for our model. While the website that we wished to web scrape data off of originally seemed very easy to web scrape, we discovered over the course of the web scraping process that the html of the website had many inconsistencies that kept leading to errors in the web scraping process. These flaws in the web scraping process decreased the amount of time we were able to work with our models and also decreased the quality of the data that we were ultimately able to work with. However, we ultimately decided that we should be able to make some minor compromises on the quality of the data that we use due to the large number of past football players that we ended up scraping even with some issues web scraping.