Inspiration
We chose to build this project after personally witnessing the difficulties millions of students face every year when applying to master's programs abroad.
What it does
We provide a centralized university application experience for students, and a marketplace for universities to showcase their programs and find the best leads.
How we built it
We built our web-application as a Python-based service. Our back-end utilizes the Pandas framework to conduct novel data pre-processing. We also created a secondary section where we can pull new responses on our front-end as HTTPRequests, however, in order to scale our business in the future, we will be pivoting to a more customized data gathering tool.
Challenges we ran into
Using figma to build our front-end was not a a good idea, Duce to it lacking documentation to connect a back-end. We realized later that it would have been a better approach to stick to tried and tested web development tools like Flask for Python. We were unable to connect our front-end and back-end on time. But since this is a prototype, we were able to successfully build the three key features for our product, the user input form, the data processing back-end, and the report generated for our user as output.
Accomplishments that we're proud of
After gathering data through a javascript web-scraping protocol, we imported our data into our python backend and successfully generated a list of ideal universities for a user. This list is then emailed to the user with more detail about the GMAT scores required, the average GPA necessary along with the work experience necessary to be admitted into their target, dream and safety schools.
What we learned
After analyzing a massive dataset of university applications, we realized that students care as much about the environment in which they will be studying as they do about the quality of education provided to them. Using data-driven analysis, we used these insights to model a back-end that served university choices for students based on secondary factors such as their proximity to large cities, while also taking into account their eligibility based on their grade profiles.
What's next for Apply2Masters
Deploying our web-platform on the cloud, integrating the back-end and the front-end towers seamlessly together. Gathering more data to do more accurate smart-matching for students and making a user-login section users can curate their profile and track their progress in working towards their target schools.
Log in or sign up for Devpost to join the conversation.