Inspiration
In honor of STI Awareness Week, April 14-20, we decided to make a health screener. Screening tests are used to check for possible health problems before they become a bigger issue. This helps catch issues early on, allowing for lifestyle changes or closer monitoring. Early detection can also allow for more effective treatment/preventative measures.
What it does
Our Machine-Learning Model to diagnose your current symptoms. Our UI features a questionnaire that inputs your information and symptoms to give you a prognosis of possible ailments you might have.
How we built it
We used machine learning to do the health screening aspect of the website, specifically using the random forest algorithm. We trained the model using data from link due to it having lots of data with numerous symptoms and the ailments associated with it. From this, the model will be able to predict what ailment a user may have from their symptom inputs.
Challenges we ran into
The biggest challenge we ran into was keeping the design of our UI/UX consistent throughout all of our website's pages.
Accomplishments that we're proud of
We are proud of coming up with a cohesive final product. Our team of two consists of a CS major and a Biology major so the coding levels of our group have much variation. Being able to work together and make one cohesive product was rewarding.
What we learned
We learned a lot about web development and machine learning from the workshops and throughout our processes.
What's Next for Health Screening
We hope to acquire up-to-date and bigger data sets to keep improving our MLM to give the most accurate possible prognoses. The ideal final goal would be to have our technology in the real world used by professional medical industries as needed!
Log in or sign up for Devpost to join the conversation.