This is an advanced Diet Recommendation Web App built using Streamlit and FastAPI. The app provides personalized meal recommendations based on user preferences, goals, allergies, and available ingredients stored in a virtual "fridge." Additionally, it supports restaurant recommendations based on the user's location.

• Generate meal recommendations based on:
  • Dietary preferences
  • Health goals (e.g., Weight Loss, Muscle Gain)
  • Allergies
  • Ingredients available in your fridge
• Nutritional breakdown (calories, protein, carbs, fats) for recommended meals
• Embedded YouTube recipe videos for easy preparation

• Add, remove, or clear ingredients in your virtual fridge.
• Save fridge data persistently in a local file (fridge.json).

• Find restaurants near your location serving dishes aligned with your dietary preferences and health goals.
• View restaurant details, including:
  • Google Maps link
  • Yelp reviews and ratings
• Interactive map displaying nearby restaurants.

• Short dietary tips provided alongside recommendations.
• Advice tailored to selected meals for better health outcomes.

• Frontend: Streamlit
• Backend: FastAPI
• APIs Used: if you want to run it, you can replace the API Key placeholder with your own
  • OpenAI GPT for generating meal and nutritional data
  • YouTube API for fetching recipe videos
  • Google Maps API for restaurant locations
  • Yelp API for restaurant reviews and details

1. Python 3.8 or higher
2. Install required libraries:

   pip install -r requirements.txt
   

1. Clone the repository:

   git clone https://github.com/Pompomina/HackNYU.git
   cd HackNYU
   

2. Start the backend (FastAPI):

   uvicorn demo:app --host 127.0.0.1 --port 8081 --reload
   

3. Start the frontend:

   streamlit run app.py
   

diet-recommendation-app/
│
├── app.py               # Main Streamlit app
├── backend.py           # FastAPI backend
├── fridge.json          # Stores fridge items
├── requirements.txt     # Python dependencies
├── img/
│   └── Diet_logo.png    # App logo
├── pages/               # Optional additional pages for multi-page apps
└── README.md            # Project documentation