ZOË Y. VALLADARES

allergen.ai

4/21/2024

allergen.ai aims to simplify allergen identification, using AI image recognition to identify food, ingredients, and cross reference them with an allergen database from a single photo upload. Designed with user convenience in mind, this experimental tool minimizes the reliance on possibly uninformed food providers.

Process:

  • 1. The initial step was to research allergen information from a government directory. FDA.GOV
  • 2. Used the researched information to create a database using Firebase DB which helped to structure the next steps.
  • 3. LogMeal provided a well documented AI food recognition API and was tested using PostMan and the Firebase database before coding.
  • 4. Javascript, React, & Radix-UI came together to create a functioning, LIVE, website!
software engineeringux/uijavascriptfirebaselogmealapi