Predictive analytics on diseases considering diet intake

Inspiration

The project aims to convince people that taking care of what they eat will give them a better life and save them a great deal of money.

What it does

It predicts anemia based on diet and demographic variables

How we built it

We considered data National Health and Nutrition Examination Survey (NHANES) which is major program of the National Center for Health Statistics (NCHS)-CDC. We did feature engineering, model building, model interpretation using SHAP, and displaying it on dashboard using streamlit.

Challenges we ran into

Since we had less time we were only able to prediction for anemia

Accomplishments that we're proud of

We were able to display results on dashboard.

What we learned

We got understanding about out diet intake and how it could affect of having disease in near future. We enjoyed through process and learnt technical details about model tuning, and building dashboard.

What's next for Predictive analytics on diseases considering diet intake

We can work for predicting more diseases considering more diet variables. Store diet data on daily basis. Patient might get idea how much quantity of food to consume and how to save on cost.