Final Project for UWO Datasci 3000 - Chef.AI
Uses Non-linear Regression to predict the Freshness Index (perceived freshness) of a food. Uses the Freshness Index to return a recipe (using Groq) based on which foods expire fastest.
In order to run the .ipynb file yourself, you must pip install each package imported at the top of the .ipynb file.
In order to train our model using your own data, or test the model against your own test set, you must make a .csv file in the same data format as the ourData.csv and ourDataTest.csv files (all the brackets and square parentheses must be included!).