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Hangry front-end

To-Do List

  • User accounts
  • User favorites
  • Styling

Other possible additions:

  • User accounts: Allow users to create accounts so they can save their favorite restaurants or cuisines, share their recommendations with friends, or receive personalized recommendations based on their past behavior.
  • Save favorites: Allow users to save their favorite restaurants to a list within the app so they can easily refer back to them later.
  • Randomize food categories: Instead of just randomizing restaurants, you could allow users to choose from different food categories such as Italian, Mexican, or Chinese, and then randomize within that category.
  • Include filters for price or distance: Add filters to allow users to limit the results to restaurants within a certain price range or within a certain distance from their location.
  • Include a map view: Add a map view that shows the user's location and the location of the selected restaurant
  • Share on social media: Include a sharing feature that allows users to share their random restaurant selection on social media platforms such as Facebook, Twitter, or Instagram.
  • Reviews: Include a simple rating system that allows users to rate restaurants based on their experience.
  • Add images: Include images of the restaurant to give users a better idea of what to expect.
  • Reviews and ratings: Allow users to leave reviews and ratings for restaurants, and display the overall rating for each restaurant to help other users make informed decisions.
  • Filtering and sorting options: Allow users to filter restaurants based on criteria like price, distance, cuisine, or dietary restrictions, and sort them by rating or proximity.
  • Social sharing: Enable users to share their random restaurant picks on social media or messaging apps, and provide them with a referral system to earn rewards or discounts for inviting their friends to use the app.
  • Personalization: Use machine learning algorithms to analyze user behavior and provide personalized recommendations based on their preferences, location, time of day, or other factors.

About

Hangry is a solo-project SPA that serves as a magic 8-ball for users to find a place to eat based on the entered location. The frontend is built on HTML, CSS, Bootstrap, and React using the Yelp Fusion API and the backend is built on Spring Boot using AWS.

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