Personalized Food Recommendation API

This repository contains a FastAPI-based API that offers personalized food recommendations based on an individual's health information, dietary preferences, and health goals. The recommendations are generated using the OpenAI language model.

Installation

1. Clone the repository:

   git clone https://github.com/your-username/your-repo.git
   cd your-repo

2. Install the required Python packages from requirements.txt:

   pip install -r requirements.txt

Setup

1. Obtain an API key from OpenAI:

   • Visit the OpenAI website to sign up and obtain an API key.

2. Set your OpenAI API key as an environment variable:

   • Open the apikey.py file and replace "YOUR_API_KEY" with your actual OpenAI API key.
   • Save the file.

3. Run the FastAPI server:

   uvicorn main:app --host 0.0.0.0 --port 8000

API Endpoints

1. Calculate BMI

Endpoint: POST /calculate_bmi

Calculate BMI (Body Mass Index) based on height (in meters) and weight (in kilograms).

Request:

{
  "height": 1.75,
  "weight": 70
}

Response:

{
  "BMI": 22.86
}

2. Get Breakfast Recommendation

Endpoint: POST /recommend

Get a personalized breakfast recommendation based on the user's health information and preferences.

Request:

{
  "bmi": 22.86,
  "vag": true,
  "diabetes": false,
  "meditation": "daily",
  "gory": "rice, vagetables, chicken etc",
  "nati": "indian",
  "regionality": "bangali",
  "exercise": "moderate",
  "goal": "weight_loss"
}

Response:

{
  "breakfast_recommendation": "Based on your profile and goals, we recommend a nutritious breakfast consisting of..."
}

Contributing

Contributions are welcome! Please follow the contribution guidelines to get started.

License

This project is licensed under the MIT License.

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