GA capstone project
Goonies never say die! What should die, however, are commercials. This is where the Commercial Killerr may help. It is a user powered television commercial detection application. Enter the channel and click the red pop-up button when there is a commercial and the indicator will let the user know when to avoid that channel.
Ruby on Rails composes the back end. This developer took advantage of and implemented Rails-provided scaffolding. It is a dream for a front end developer as it creates the bulk of back end necessities. One deviance from scaffolding in this app is a custom route that allows the user to update the commercial state on the input channel by channel number (name in the PSQL database) instead of channel ID (another column in the PSQL database). An example of this route in action can be seen in the app when a channel is submitted and the status buttons pop up on screen. Another addition to the back-end is the display of the organized channel number data. As mentioned, the database is a PSQL database. It contains one table. PSQL remains a preffered database by this developer for its ease of use and simple configuration.
There are no dependencies needed for this app.
As a user, I want to go to an open-ended page and put in a channel to see if it has ads.
As a user I want to be able to indicate through buttons that a channel being watched has ads or programming.
As a user, I want cool stuff like seeing how many ads I've killed and badges for my commercial slaying.
This was the GA project I was most proud of making. The parts I enjoyed most also relate to the difficulties and hurdles of the project. That is getting more in depth. I want to work as a front end developer so focusing on the front end proved enjoyable. I would like to go further in depth with styling and UI. I would also like to go further with accessability with the app and give it a multi-view feature so that a different user can benefit from the status input and indicator features of Commercial Killerr. Ideally, the back end will have an array with Posgres computed columns so that the database can store an array and when 51% say there is a commercial, the indicator will switch to a commercial, likewise for programming. Cheers!
back-end repo: https://github.com/logicmyth/capstone-back-end