Inspiration
I've gone to the hospital a couple of times that were not just a simple check-up. In those times I've visited the hospital, one big thing that I always wished there was is a way to understand what disease, bodily problem, or any other medical term means. It's very hard nowadays to ensure that you have received true information.
What it does
DiseaseVerse is a search engine program that allows hospitals to customize a generic dataset then use DiseaseVerse to bridge the gap between information and the patient themselves. DiseaseVerse is a very user-friendly website where anybody can simply type in the term (given that the hospital has provided that in the dataset), and then receive a description and explanation of said term. For example, if someone has been told that they have conjunctivitis, they could use DiseaseVerse to see specific details such as what the disease is and what medication the patient's hospital recommends.
How I built it
Utilizing Python integrated into HTML through PyScript, I was able to make an application that parses through data (using the pandas package) in Python, then shows it to the web application through HTML. This both required front and back end programming to work as a user-friendly, visually appealing, and functional website.
Challenges we ran into
Figuring out how to parse through data, reformat it, and integrate Python with HTML was quite challenging. It took lots of learning to get everything working.
Accomplishments that I'm proud of
I am very proud of the overall website, and how it all came together in the end. I found the website appealing to look at, along with having large potential if hospitals implemented it.
What I learned
I learned a lot about data utilization in Python and programming with HTML. I also learned a lot about GitHub, as I've never used it before. Overall, I found this to be a great learning experience since I expanded my knowledge in programming languages, and the logic behind some similar applications.
What's next for DiseaseVerse
My next step would be to create a more expansive dataset to make it usable to a greater extent without partnering with a hospital. I would personally use it the next time I get sick, and hopefully develop it further to make scaling much easier.
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