Description
With the high volume of information concerning Coronavirus, we wanted to develop a user-friendly app that offers a brief analysis for currently identified risk factors for COVID-19.
A user selects corresponding information to see a relative prediction for COVID-19 based on given data
Development
We developed both on the front-end and back-end services. We used Flask to develop a web application in conjunction with Python as well as HTML/CSS/javascript. We analyzed data using Python and the pandas framework.
Challenges
Trying to combine different languages, frameworks, and libraries into one cohesive application. Connecting frontend to backend, including retrieving data from the form and posting the result on the web page using flask. Comprehending Flask to use with other tools in order to properly extract, transform, and load data.
Learning Experience
Learning different tools and how they relate to one another in a development process. Being exposed to different libraries and their relationship with types of data and processes. Ensured commitment to modular code so that functions could be readily distributed across the project. Became familiar with version control and remote collaboration using git/GitHub, especially in terms of project management.
What's next for COVID-19 Risk Factor Predictor
Add more options for user input to generate a more insightful resulting analysis. Connect to API to use real-time data for data processing. Collect user feedback and use machine learning to optimize our predictor model. Increase efficiency of stream of data so that the application can run faster.
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