Inspiration
A need to provide an accurate and scientific meal planner for cat owners, who just want a simple and readable format.
What it does
It prompts users to enter data such as their cats: age, breed, weight class. In which our pre-defined formula will calculate the ideal protein and fat requirement in order to ensure cats longevity and health.
How we built it
1) using c++ external library wXwidgets to create the GUI interface. 2) research basic dietary needs for cats using scientific journals and info from organisations. Then we collected the average data range for our ideal variables. Furthermore, we initialised the variable 'score' which has the maximum desirable goal of 10/10. The greater or lesser the difference between ideal range and inputted range, will determine the score. ie, for falling far below the dietary recommendation, the score will receive appropriate deductions, the same goes for going above the dietary range.
Challenges we ran into
-the wifi speed affected our ability to implement our original goal of implementing google gemini studio to run locally in VS code, to act as a real time data collector of cat food nutritional facts. -the usual struggles of trying to implement a new API especially to c++ which is not a straightforward pathway and instruction. -navigating git especially when the terminal commands were outputting errors
Accomplishments that we're proud of
-being able to complete our base model product to present -being able to improvise and formulate backup plans -to go from error after error to being able to finally output a product
What we learned
-how to navigate git to push, pull and set up backups in case of unexpected error -how to customise an .exe application with our own application logo from PNG to .ico -how to professional format the readMe file. -implement a simple GUI interface -how to prompt engineer desired results after many trials and errors
What's next for FelineOpt
-better customisation and more visually pleasing aesthetics -a wider function range of animals other than cats which will require different dietary recommendation -an updated readMe file -sorting and compartmentalising our many files into src, include, assets folders -a better optimised and accurate adjustments in our formulas.

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