CITATION.cff

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cff-version: 1.2.0
title: Diet recommendation system
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Zakaria
    family-names: Narjis
    email: zakaria.narjis.97@gmail.com
    orcid: 'https://orcid.org/0009-0007-7033-4419'
identifiers:
  - type: doi
    value: 10.5281/zenodo.12507164
    description: >-
      https://github.com/zakaria-narjis/Diet-Recommendation-System/releases/tag/v1.0.0
repository-code: >-
  https://github.com/zakaria-narjis/Diet-Recommendation-System
url: 'https://diet-recommendation-system.streamlit.app/'
abstract: >-
  People from all around the world are getting more
  concerned in their health and way of life in today's
  modern environment. However, avoiding junk food and
  exercising alone are insufficient; we also need to eat a
  balanced diet. We can live a healthy life with a balanced
  diet based on our height, weight, and age. Your diet can
  help you achieve and maintain a healthy weight, lower your
  chance of developing chronic diseases (including cancer
  and heart disease), and improve your general health when
  combined with physical activity. Nevertheless, there is a
  little SOTA project on food/diet recommendation system.
  Therefore we propose a content-based recommendation system
  for this purpose using machine learning.
keywords:
  - Machine learning
  - Artificial Intelligence
  - Recommendation systems
  - K-Nearest Neighbors
license: Apache-2.0
commit: 5220900440aaf906d5bb6efe4fa0ac6ec3ee224b
version: 1.0.0
date-released: '2023-01-12'