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Meal Suggestor

Overview

Welcome to the Meal Suggestor package! This R package is designed to make meal planning easier and more enjoyable. Utilizing a comprehensive dataset of diverse recipes, our package offers tailored meal suggestions based on user preferences such as cuisine type, dietary restrictions, and preparation time. Whether you are a cooking enthusiast or just looking for daily meal inspiration, our package is here to help you explore a world of culinary possibilities.

Data Description and Preparation

We Found the dataset from Kaggle, whcih contains more than 8000 food recipes with cuisines from across the globe (with major focus on Indian Dishes). In this dataset, we can get the information about the food recipes, approximate cooking and preparation times, cooking instructions,ingredients used, Recipe Author and Ratings.

Then, to enhance the readability and analyzability of the dataset, preprocessing was performed. Initially, unnecessary columns were removed. Subsequently, certain columns underwent format conversion.

Features

  • Cuisine Filter: Find meals from specific cuisines like Mexican, Italian, Indian, and more.
  • Dietary Considerations: Filter recipes based on dietary needs such as vegetarian, vegan, or gluten-free options.
  • Preparation and Cooking Time: Choose recipes based on the time you have available, from quick snacks to elaborate dinners.
  • Ingredient-based Suggestions: Get recommendations based on ingredients you already have at home.

Getting Started

Installation

To install the Meal Suggestion package, use the following command in R:

# install.packages("devtools")
devtools::install_github("ptds2023/MealSuggestion")

Functions

Meal Suggestor offers a variety of functions to different needs and preferences in meal planning:

Use filter_by_time() to find recipes matching your available cooking and preparation time.

Discover recipes based on a combination of criteria with get_recipes().

Retrieve the top-rated recipes using get_top_n_recipes().

Let random_recipe() surprise you with a random meal suggestion.

Organize your recipe search results with sort_recipes() based on criteria like preparation time or rating.

Integrated Shiny App for Interactive Meal Planning

Meal Suggestor also includes an interactive Shiny app, enhancing your meal planning experience. Launch it from your R console and input your preferences to receive meal suggestions:

# Launch the Shiny app for interactive meal planning
launchMealApp()

Website

Here is our website

Contributing

Your contributions can help make Meal Suggestor even better! If you have ideas for new features, enhancements, or find any bugs, please visit our GitHub repository to contribute or report issues.