Core| SDGs and COVID-19

SDGs and COVID-19

This challenge invites you to analyze the impact of COVID-19 on the United Nations (UN) Sustainable Development Goals (SDGs) by looking at the current and ongoing change in the monitoring indicators of the UN SDGs using Earth observation/remote sensing and global Earth system model-derived analysis products.

BRIDGE - Barely-available Resources' Inter-region Distribution GuidE

Summary

Barely-available Resources' Inter-region Distribution GuidE (BRIDGE) is a smart web application which leverages the power of machine learning to identify potential hotspots around the world where there is a rise in demand for resources(food/medical/human) but are not met. Simillarly hotspots are identified where excess production is made without a potential consumer.Our brief project motto is to bridge this divide and aid the government in empowering every single individual to achieve more.

How We Addressed This Challenge

We have calculated two indexes for every resource for a particular region.  DemandIndexForResourceA and SupplyIndexForResourceA. Where an internal algorithm that takes in a ton of parameters like
1. Agricultural harvest of the region.
2. GDP of the region
3. Population to Harvest ratio

4. Resource Cost at the region
etc....
And calculates the indexes.
We have created a Oracle that then aids the government to link the Producer of Resource's or the Container of Resources's supply from one region which has abundant supply to the Consumer of another region who is deprived of the resource. This basically helps us make a data driven decision to distribute our (fairly limited) resources to areas which need it the most .
And this plays a very important role in the covid 19 driven post-apocalyptic-ish world where people will be reluctant to directly sell/supply their resources . Here, the government steps in. But to make sure that both the stakeholders sustain and thier interests are met we need to do one step better
This solution won't solve the issue of the people all together. But will get the government working in the right direction.


How We Developed This Project

According to USDA, 11.1% of households were food insecure at least some time during the year 2018 which is roughly 36.4 million Americans. On the contray, US has 897,400 (100 acres) of farmlands and 2,023,400 number of farms as of 2019, stated in a report by NASS. And according to another report, In 2018, Americans wasted around 30%-40% of the entire US food supply. And during times of Global Pandemic like Corona Virus, the numbers surely rise. 

Connecting the dots based on the above statistics, one of the reason could be absence of a bridge to link the supplier and buyer in an optimized way leading to wastage of food at one region and food insecurity in another region.

And if this continues, by 2050 when the demand will be 60% higher than today, not to mention the scenario will get worse.

This inspired us to build our tool BRIDGE.

BRIDGE follows the following steps to mitigate the issue- 

  • NASA Satellite Images are processed using Image Processing tools to determine county-wise cropland data and crops production. 
  • These data act as one of the feature for our Machine Learning model. Other county wise features include population, GDP, poverty, income, Corona Cases. 
  • After training the model, we prepare one recommendation engine which gives us the Top 5 potential supplier for a buyer region. 
  • These data and statistics are then showed in an Angular based Dashboard. 

Technology Stack Used - 

  • Python, Jupyter Notebook for training the Model. 
  • Angular for the Dashboard

Problems faced are as follows - 

  • Due to shortage of time, we couldn't create a dedicated server for the UI which would exposed the recommendation engine through REST APIs.

Achievements -

  • Succesfully used NASA data to identify Regions with less agricultural harvest and regions with abundance using NVID
  • Achieved success in identifying regions which fulfill demand/supply gap


Project Demo

https://drive.google.com/drive/folders/15z99H_CY99yjUlMm5Mkhdo3n-pS53oDw?usp=sharing

Project Code
Data & Resources
Tags
#foodinsecurity
Global Judging
This project was submitted for consideration during the Space Apps Global Judging process.