This will be the final event in the FSTGC Computing sub-committee's "Coder's Toolkit" series.
In this hackathon, you'll be expected to build out a solution for a concept restaurant known as Kruger Cuisine.
Scenario
Problem Overview
Sasha owns a restaurant known as Kruger Cuisine, which is famous for its high-quality steak meals and excellent customer service, however, due to the onset of the pandemic, regular operations have been severely disrupted, primarily due to most of the business operations being offline.
Detailed Breakdown
The restaurant is open from Monday through Saturday from 8:00 am to 12:00 am. The chefs and waiters usually work two shifts:
- A morning shift from 9:00 am to 5:00 pm
- A night shift from 5:00 pm to 12:00 am
However, workers usually are notified of changes in their shifts before they clock out for the day or via the phone, which often leads to some being confused on what shift they should actually work on.
Moreover, if a customer wishes to dine at the restaurant they would have to call to book their reservation or wait until a slot frees up due to someone missing their reservation or until someone's reservation period has ended.
Lastly, due to most of the business operations being offline, customers would have to either call the restaurant or visit physically to know what meals are available on the menu for the week.
So Sasha must find a way to keep her restaurant afloat, can you find a solution for her?
Prizes
Coder's Toolkit Hackathon Winner Certificate
Best use of AWS Award
Best use of Docker Award
Best use of Linux Award
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Jason Gayle
Anakai Richards
Zoe Duncan
Judging Criteria
-
Creativity
The solution should be innovative. -
Usability
The solution should be easy to use and easy to learn how to use. -
Completeness
The solution should solve all aspects of the problems in the scenario. -
Bonus
Using anything done in the Coder's Toolkit Workshops (Git, Linux, AWS, Docker) alongside creating an object-oriented solution -
Reliability
The solution should perform consistently. Try to keep bugs or errors to a minimum or come up with a fool-proof idea.
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