Diabetes Prediction Project
This repository consists of files required to deploy a Web App created with Flask on Microsoft Azure.# diabetes_predictor The project helps the user to identify whether someone is suffering from diabetes by simply inputting certain values like BMI, Glucose level, Blood pressure etc. with the help of a Kaggle database.
SEHAT is an interactive Predictive Health Application using Streamlit and machine learning models to forecast diabetes and heart disease risks based on user health parameters. Enhance your health awareness with immediate insights and proactive management tools.
This project utilizes machine learning algorithms to predict the likelihood of diabetes based on various risk factors
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