Diabetes patients glucose levels keep changing frequently and most of the time users are unable to get their glucose level at that instant. Also, the main challenge of diabetes patients is to maintain their blood sugar levels.
What it does
So this app, predicts the glucose level in real time based on parameters like pregnancies, bmi, age, blood pressure, insulin level and also gives the level of diabetes of the patient. It suggests the diet that diabetic patients should have based on their diabetes level
How we built it
We built the classifier to predict glucose level using machine learning algorithm - multivariate linear regression. We build the web app using Flask, HTML, scikitlearn,excel and Python.
Challenges we ran into
Integrating the classifier with Flask, deciding the classifier to be used.
Accomplishments that we're proud of
Predicting glucose levels and successfully creating diet suggestions
What we learned
Python, machine learning,flask
What's next for Diabetes Prediction for Women
Suggesting doctors near by for diabetic patient treatment
Github link : https://github.com/shravik/Diabetes-Prediction-for-Women