BiggerImpact

With BiggerImpact, we've made the donation process for crises more user-friendly, optimized where humanitarian aid goes, all while tackling the Covid pandemic.

Comment

Inspiration

Given the recent Ukrainian-Russian conflict, our team was curious about how we could help those in need, and if there is a way to optimize where aid was sent. We quickly realized that given the large amount of people that are in dire need of help, if we can optimize the process in any way that even helps 1 additional person, we have succeeded. As you'll soon come to learn, BiggerImpact is going to help a lot more people than just 1.

What it does

BiggerImpact does 4 main things:

1. Educates the public about humanitarian crises and the Covid-19 Pandemic

  • informs the public not only about the amount, but also the severity of the crises
  • informs the public about Covid-19 is devastating countries abroad
  • informs the public about how donating with BiggerImpact can simultaneously tackle the pandemic and aid those that need help

2. Optimizes how humanitarian aid should be distributed

  • evaluates risk scores for countries by using Covid-19 data and humanitarian crisis data
  • creates a priority distribution for countries

3. Tackles the Covid-19 Pandemic

  • by using Covid-19 risk evaluation, BiggerImpact prioritizes aid to regions to mitigate the spread of Covid-19, reducing the amount that suffer from the virus directly and reducing the mutation capabilities of it

4. Provides a User-friendly experience

  • users may interact with simple yet elegant data visualizations to learn more about what is happening around the world
  • users can donate to multiple causes simultaneously
  • users can know that their money is going to the causes that need it most

How we built it

In building BiggerImpact, there were 2 main components: back-end and front-end. The back-end was built using python in a colab notebook, where scripts were created to clean, process, and visualize data. All the data we used was publicly available. The front-end was created on WordPress, with a combination of HTML, CSS, and DIVI.

Challenges we ran into

  1. Messy Data
  2. Incomplete or missing data
  3. Debugging new Library releases

Accomplishments that we're proud of

We are proud of the fact that as a team, we were able to envision a product and deliver that product in a very short time span. Furthermore, doing so with a large gap in experience and knowledge.

What we learned

We learned a lot about the issues with humanitarian aid, including both logistical and political. Even more so, we learned a lot about front-end programming.

What's next for BiggerImpact

BiggerImpact will next deploy machine learning models to predict where humanitarian aid should be going in the future, and also how to address supply chain issues.

Built With

Share this project:

Updates