Inspiration
While going through public datasets, we discovered a Heart Disease Dataset on Kaggle which had data on questions answered by patients with and without heart disease. From there, we formulated the idea of making a project based on the dataset.
What it does
After entering in answers to various questions, users then receive a percentage risk of getting heart disease.
How we built it
We used machine learning to make a Logistic Regression model that can predict whether or not someone has heart disease based on their habits, and used a probability function of that model to build the final product. We also used html and flask for developing the website on replit.
Challenges we ran into
At first, we attempted to use Github Desktop, however due to facing a large sum of errors, we switched over to replit.
Accomplishments that we're proud of
We are proud of being able to integrate the machine learning model in a public website.
What we learned
We learned how to make and produce ideas that have to do with building a product.
What's next for Will you get Heart Disease in 10 years?
We may work on adding new features to the project, such as something that gives tips on how to reduce one's chances of developing heart disease.
Log in or sign up for Devpost to join the conversation.