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personalized-diet-recommendation-system's Introduction

Personalized Diet Recommendation System

The app helps its users choose the right food they should consume based on their personal information (PI), such as age, height, activity level, and personal favorites. Using this data, it computes health-related parameters like daily calorie intake requirements using equation. Then it prompts users to input their favorite preferences such as cuisine, allergies, etc. and uses this information to further narrow down the recipes from the recipe repository extracted from RecipeDB - a structured compilation of recipes, ingredients, and nutrition profiles interlinked with flavor profiles and health associations.

Features

  1. Login/Sign up - Hosted on firebase
  2. Fully responsive UI
  3. Based on Python-Flask
  4. Generates personalized health recommendations based on users health parameters.

Requirements

pip install pyrebase4
pip install flask

Additional Info

The server starts by default on http://127.0.0.1:5000/

Screenshots

SignupLogin Login forms forms meals

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