Diabetes Risk Assessment

This web application uses Machine Learning to predict the risk of diabetes for people who answer a few health questions. The app was built using HTML, CSS and JavaScript for the front end and Python for the backend. The purpose of using these languages was to keep it simple and easy to use, while still being effective in tracking your health data and helping you find out what you can do to improve your diabetes risk. The frontend has been built with HTML and CSS to structure and style it. It also uses JavaScript to get health related news from an API and display them at home page. We used Flask as our deployment tool because it makes deployment simple when using Python, which we used for training our machine learning model on diabetes risk prediction data.