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https://github.com/alejoriosm04/f2f

This web application is designed to help users create personalized recipes using the ingredients available in their fridge and pantry through AI.

https://github.com/alejoriosm04/f2f

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (12.8%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

This web application is designed to help users create personalized recipes using the ingredients available in their fridge and pantry through AI.

Basic Info
  • Host: GitHub
  • Owner: alejoriosm04
  • Language: Python
  • Default Branch: main
  • Size: 5.84 MB
Statistics
  • Stars: 4
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed about 1 year ago
Metadata Files
Readme

README.md

FridgeToFeast - FTF

Make the most of your food - Powered by AI

Contents <!-- omit in toc -->

Screenshots

Home screen <!-- omit in toc -->

Home screen in light mode. Home screen in dark mode.

Recipe screen <!-- omit in toc -->

Recipe screen.

Kitchen screen <!-- omit in toc -->

Kitchen screen.

History screen <!-- omit in toc -->

History screen.

AI-generated image of a recipe <!-- omit in toc -->

AI-generated image of a recipe.

Dashboard screen <!-- omit in toc -->

Dashboard screen.

About Us

FridgeToFeast (FTF) is a project for the fourth-semester course "Integrative Project II" (ST0251) taught at EAFIT University by professor Paola Vallejo, and developed by Alejandro Ríos, Danniela Zárate, Luis Torres, and Sara Cortes.

What is FTF?

FTF is an AI-based web application that analyzes kitchen ingredients to provide a variety of tailored recipes, promoting efficient and healthy meal planning.

  • Optimized Recipes: Simply add everything stored in your kitchen, and through our AI system, we can generate optimized recipes based on certain specifications such as preferences, quantities, type of cooking, etc.
  • Analytical Tools: We also provide analytical tools to understand eating behavior.

What do we solve?

FTF addresses the challenge of deciding what to cook with the available ingredients, which can lead to unhealthy food choices and food waste. We seek to optimize our users' food for optimal use.

Why use FTF?

  • Powerful AI System: For the creation of customized recipes.
  • Data Science and Analytics: For understanding eating behaviors.
  • Resource Optimization: To avoid waste.
  • User Support: To get better food.
  • Time Reduction: For cooking.
  • Simple and Engaging User Experience.

Installation

  1. Clone the repository.

  2. Create and activate a virtual environment (optional, but strongly recommended).

  3. Install dependencies with pip install -r requirements.txt

  4. Set your OpenAI API key as an environment variable with export OPENAI_API_KEY=your_api_key_here

  5. Apply migrations with python manage.py migrate

  6. Create a superuser with python manage.py createsuperuser

  7. Run python manage.py runserver

  8. Access localhost:8000 from a modern web browser.

For more detailed information about the project, please refer to the wiki.

Authors

License

Copyright (c) 2024, Alejandro Rios, Danniela Zárate, Luis Torres, Sara Cortes. All rights reserved FTF.

Owner

  • Name: Alejandro Ríos Muñoz
  • Login: alejoriosm04
  • Kind: user
  • Location: Colombia
  • Company: @gruponovaeafit

Majoring in Computer Science @EAFIT🇨🇴

GitHub Events

Total
  • Delete event: 1
  • Push event: 1
  • Create event: 1
Last Year
  • Delete event: 1
  • Push event: 1
  • Create event: 1

Issues and Pull Requests

Last synced: about 1 year ago

All Time
  • Total issues: 16
  • Total pull requests: 18
  • Average time to close issues: about 2 months
  • Average time to close pull requests: 7 minutes
  • Total issue authors: 1
  • Total pull request authors: 3
  • Average comments per issue: 0.25
  • Average comments per pull request: 0.11
  • Merged pull requests: 18
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 11
  • Average time to close issues: N/A
  • Average time to close pull requests: 2 minutes
  • Issue authors: 0
  • Pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 11
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • alejoriosm04 (12)
Pull Request Authors
  • SaraCmque (17)
  • alejoriosm04 (15)
  • luismtorresv (1)
Top Labels
Issue Labels
Pull Request Labels
enhancement (1)