Football Matches

We noticed the matches' data was too scattered, so we decided to clean the data and present it in a more meaningful manner.

We have different tabs in the navigation bar, which helps us easily navigate between home, live match scores, scheduled matches, and leagues.

We used Django as our base framework as most of our team members had previous experience with python and we used CSS to add a user interface to our web app.

While working, we weren't able to use our original CSS as it had conflicts with our application functionality, so we tried to adapt as much as possible to make sure our application is not compromised. Another challenge we faced was that most of the APIs we found for the score were paid and others had data in n unusable form, we spent a lot of time trying and testing out different APIs till we found an API that was free and provided us the data we required.

We had little to no idea of how to work with different APIs, but we learned a lot while in the process of finding the perfect API and how to optimally use an API.

Next, we plan to add an estimation of what team is gonna win based on their previous performance against different teams and different leagues. Also, as we make progress with football, we plan to implement similar algorithms to various different sports like Rugby, Cricket, and Hockey