I took inspiration from social studies and history classes. I was intrigued by the fact that wealth was concentrated in developed countries, even though there was enough to redistribute. To create an equal playing field, I planned to create a website that could solve this issue. This satisfied UN sustainable development goals 8 and 17: Decent work and Economic growth, and Partnerships for the goals.
The website utilizes export and import data about developing countries to recommended them other like-minded countries, that align with their commercial objectives.
The website was built using python's Streamlit library, a powerful, streamlined UI development package. I extracted the data by using the web scraping libraries Requests and BeautifulSoup (bs4). Using the export and import data from the website, I converted a python dictionary with the data into a csv file using Pandas. Subsequently, I read and compared the export and import data of multiple countries, examining the degree of similarity they shared. Finally, I wrapped up all parts of the program and integrated it into a Streamlit GUI.
I found it difficult to extract the correct export and import data from the website. Additionally, it took a substantial amount of time to convert the text, scraped off the website, into a usable, standardized format, eventually into a csv.
I am most proud of understanding an issue of utmost importance that has its relevance in the modern era. Another thing that I am proud of is my execution of my plan, succeeding in the web scraping, and UI elements of our program.
I delved deeper into previously known concepts such as web scraping as well as exploring new ways in UI/UX development, gaining a deep grasp of how to make a streamlined GUI with an emphasis on user experience.
This website, if implemented by major export companies and administrators around the world, could cause great economic growth and lower reliance on core states.
- python
- beautiful-soup
- pandas
- pil
- requests
- streamlit
