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team-13's Introduction

Egg-Sactly!!

By team 13

https://youtu.be/-pcq4MBT6rM

Malnutrition is one of the most important reasons for child mortality in developing countries, especially during the first 5 years of life. Malnutrition occurring in the world is caused by insufficient monitoring, identification, and assessment efforts. Therefore, interventions focusing on the identification and treatment of malnutrition are valuable, as they reduce the risks and rates of malnutrition. Technology may be a particularly useful ally in identifying malnutrition due to scalability, timeliness, and effectiveness.

About the NGO

Sight and Life is a humanitarian nutrition tank working eradicating malnutrition. Malnutrition is an underlying cause of death for 2.6 million children each year, and leaves millions more with lifelong physical and mental impairments.Sight and Life is a pioneer of nutrition innovations based on science and working towards eliminating all forms of malnutrition in children and women of childbearing age

Problem Statement

Eggs are a cheap and nutritious source of proteins and form an important part of a healthy, sustainable and stable diet. Sight and Life is working to ensure universal access to eggs by implementing innovative,climate-smart approaches to egg production and consumption in low and middle-income countries. The organization requires a platform wherein one can asesss and track the statistics of egg availability across the globe.

Softwares Packages and Languages used

We have used uses a number of open source projects to work properly:

  • Flask - micro web framework written in Python
  • Bootstrap - The most popular HTML, CSS, and JS library in the world.
  • jQuery - a fast, small, and feature-rich JavaScript library

Requirements -

  • click==7.1.2
  • Flask==1.1.2
  • itsdangerous==1.1.0
  • Jinja2==2.11.2
  • MarkupSafe==1.1.1
  • numpy==1.19.1
  • pandas==1.1.0
  • python-dateutil==2.8.1
  • pytz==2020.1
  • six==1.15.0
  • Werkzeug==1.0.1

Features

  1. interactive UI
  2. "Easy-to-understand" info-maps
  3. Statistical representations for history-tracking

Acknowledgement, Authors and Licensing

For the project, we are thankful to

  1. https://comtrade.un.org/data, FAO, Our World In Data for the dataset
  2. JP Morgan Chase for providing the necessary guidance for this project
  3. Sight and Life for giving us the opportunity to work for the social good of the society.

The code of this project is private and a part of the contest Code For Good run by JP Morgan Chase.

The code ("Code") in this repository was created solely by the student teams during a coding competition hosted by JPMorgan Chase Bank, N.A. ("JPMC"). JPMC did not create or contribute to the development of the Code. This Code is provided AS IS and JPMC makes no warranty of any kind, express or implied, as to the Code, including but not limited to, merchantability, satisfactory quality, non-infringement, title or fitness for a particular purpose or use.

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