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  • Aparajith Raghuvir:

    • Tech stack: python, fastapi, sqlalchemy, nextjs
    • Created the LLM recipe generator workflow, the LLM recipe generator endpoint.
    • Created all recipe related endpoints
    • Created all allergy endpoints
    • Integrated recipe and LLM gen endpoints with the frontend
    • Integrated the admin page workflow with admin and recipe edit, delete endpoints
    • Created tests for recipe and LLM recipe generation related endpoints
    • Created the final video submission

  • Jeet Sharma:

    • Tech stack: Python, FastAPI, SQLAlchemy, NextJs
    • Developed the backend for social media functionality, including:
      • Social media feed with the ability to auto filter recipes based on user allergens.
      • Features to comment on recipes in the social media feed.
      • Feature to like recipes on the social media feed.
      • Implemented recipe bookmarking functionality, allowing users to save recipes to a private folder.
    • Integrated all social media-related endpoints with the frontend templates.
    • Created test files for social media endpoints.
    • Contributed to models.py by creating models for social media features.

  • Tarun Gowda:

    • Tech stack: Python, FastAPI, Next.js, Tailwind CSS
    • Designed the UI/UX for the website.
    • Wrote the verify endpoint for bearer token verification.
    • Created authorization and authentication in frontend with route protection and session.
    • Role based authorization.
    • Created login, signup, bookmark pages.
    • Created filters for the main page.
    • Upload recipes for user.
    • Final optimization, type language, UI changes.

  • Sheng-Kai Wen:

    • Tech stack: Next.js, Tailwind CSS, TypeScript
    • Developed Navbar, Footer, CommentList, DialogBox, RecipeList and RecipePageList components.
    • Implemented page templates for admin page, edit-recipe-page, shoppinglist-page, upload-recipe, user-page and user-profile page to facilitate integration.
    • Implemented the confirm password functionality for the registration page.
    • Created the user-profile page, displaying the user's name and allowing them to add allergy ingredients.
    • Built the shopping-list page, enabling users to view, update, and delete items in their shopping list.

  • Eric Anderson:

    • Tech stack: python, fastapi, sqlalchemy
    • Created models.py which defines the database used throughout the project. Defines Users, Recipes, Ingredients, Allergy, Social Media, Comments, Bookmarks, Shopping List Items. Used by every backend endpoint.
    • Created all authorization endpoints in auth.py which is connected to frontend login page created by Tarun. Auth is used to get current users information in all other backend endpoints.
    • Created all shopping list endpoints in shoppinglist.py which is connected to frontend pages created by Sheng-Kai. Functionality allows users to export recipes to shopping list, edit, and save shopping lists.
    • Created test_auth.py and test_shopping_list.py to ensure all auth and shopping list endpoints are running properly.
    • Created test_data.py which adds an admin user to the program.