Team 3: Data Sharing

Dataset #1: Food Nutrition

Link: https://www.kaggle.com/lazycoder00/-nutritionalfacts-fruit-vegetables-seafood

• This nutritional dataset is for the millions of Americans who have unhealthy eating habits.
• This dataset records the daily value percentage (%DV) of raw fruit, raw vegetables, and cooked seafood based on a 2000 calorie diet. Apart from calories the dataset also records calories from fat, total fat, sodium, potassium, and total carbohydrates.
• This dataset has been updated in the last month to include the updated nutritional values from the FDA website.
• This is a national dataset that covers all of the United States, which will be helpful for us since our targeted customer base ranges all across the country.
• This dataset will educate them on the nutritional value of healthy food groups and encourage them to change their eating habits and strengthen calorie intake.

Dataset #2: Recipes

Link: https://www.kaggle.com/ajitrajput/foodrecipes

• This data set includes various recipes from around the world, their preparation time and the type of course they are.
• The recipe dataset includes the ingredients included in the recipes which would aid in caloric intake.
• This data set includes various dishes from different countries and cultures which be helpful because of the different cultures of those that could use the application
• This data set was updated 4 months ago so it is fairly recently updated

Dataset #3 Restaurants

Link: https://www.kaggle.com/datafiniti/fast-food-restaurants

• This data set is about restaurants across the country, their city, latitude and longitude, and name.
• This information is about the amount of fast food restaurants in particular cities and records the number of restaurants per capita.
• This data set was updated one year ago.
• The United States- which is where our app aims to assist people.
• The data was collected to determine cities with the most, least, and over all number of fast food restaurants. This will allow people needing a quick meal to easily locate a restaurant based on their nutritional needs.

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Unstructured data like text data / image data

Provide a short walkthrough about the data description, fields description and a few insights / observations.

Reference: EduKC

Edit Page

Upload / share your folder with ocela.ai@gmail.com with images for all classes.

Add an image for each class as an example.

Reference: EduKC

Open the following Google Drive folder (which only your team has access to) and upload the data for your project.