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Full-stack web application that discovers popular ingredient pairings in the blogosphere.

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food-trends

Food Trends web application

This repository houses my final project for the Hackbright Academy curriculum.

Overview

Food Trends is a web application that discovers popular ingredient pairings in the blogosphere. It is intended for food bloggers, writers, recipe developers, and foodies looking to tap into current food trends. Ideally, the app could serve as a source of inspiration. If a user has a particular food in mind, they can search for that food or ingredient. The app searches through blog post titles with that food, uses Spoonacular’s API to parse the titles, then builds all combinations on the back-end. Searching returns foods or ingredients that bloggers have paired with the original query. The app generates a D3.js visualization demonstrating those pairing popularities. Users can also look at recent search results.

The features of this application:

  1. Search for specific foods/ingredients -- then show ingredients frequently paired with the search term.
  2. Use D3.js to create a visual showing strength of pairings with term.
  3. View recent search results

For example, if you searched "burrata", you may see that it frequently occurs with the term "tomato".

APIs used
Spoonacular Ingredient and Nutrition API
Twingly Blog Search API

Screenshots

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Full-stack web application that discovers popular ingredient pairings in the blogosphere.

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  • Python 79.3%
  • HTML 11.3%
  • JavaScript 5.2%
  • CSS 4.2%