NutriFinder

Find food alternatives based on preferences within seconds

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Inspiration

People struggle to find food to satisfy dietary and personal preferences, no straightforward way to find the best food for you!

What it does

We return a list of food items and nutritional info from restaurants by requesting the user to select some preferences

How we built it

  • Developed the front end using Reactjs framework (HTML/CSS, Javascript), the back end using Flask ## Challenges we ran into
  • First hackathon, learning development process
  • Compiling large data sets for many restaurants' food items, some restaurants had 100s of items, some restaurants don't have data available ## Accomplishments that we're proud of
  • We were able to build a working web app with a front-end and back-end ## What we learned
  • Team's first time building a web app and being able to the front end and back end alongside Python scripts to return data compiled through preferences ## What's next for NutriFinder
  • Nutrifinder will expand its use of Databases in the future and will be able to generate more results given that we can gather bigger data sets effectively
  • Plan to reach out to local restaurants and include their items in the database to give more exposure
  • Scale the application to add more preferences on the categories of food (ex. pizza, soup, pasta) and goals (high protein, vegetarian)
  • We will also expand to mobile app development and will upgrade the UI/UX Design of the page, along with adding security authentication features.
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