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Crowd-sourcing platform for allergen and dietary restriction-friendliness testimonials. Uses AI agents to understand and analyze natural language reviews for allergen tagging, as well as to supply deeper semantic knowledge of traditional preparation methods for a given dish.

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Technica 2024

Backend

Setup

Open the entire backend folder in an IDE. Then in that terminal, run the following commands:

  1. python3 -m venv venv
  2. source venv/bin/activate
  3. pip install -r requirements.txt
  4. Create a .env file at backend/.env
  5. Add MONGO_URI=<connection_string> to the .env

To run the backend server

Run the command uvicorn main:app --reload

Frontend

Setup

Navigate inside the frontend folder. Then in the terminal, run npm install

To run the frontend

Run the command npm run dev

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Crowd-sourcing platform for allergen and dietary restriction-friendliness testimonials. Uses AI agents to understand and analyze natural language reviews for allergen tagging, as well as to supply deeper semantic knowledge of traditional preparation methods for a given dish.

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