This project implements a web application for predicting diabetes and heart disease using machine learning models. It is built with Streamlit. CLICK HERE
This project provides a user-friendly interface for predicting diabetes and heart disease. It includes two machine learning models for each prediction.
- Diabetes Prediction: A machine learning model trained to predict whether a person has diabetes or not based on input features.
- Heart Disease Prediction: A machine learning model trained to predict whether a person has heart disease or not based on input features.
Follow these instructions to set up and run the application locally on your machine.
-
Clone the Repository:
git clone https://github.com/Amourya03/Multiple_Disease_Prediction.git cd multiple-disease-prediction
- Open the application in your web browser.
- Select the disease prediction you want to perform (Diabetes or Heart Disease).
- Fill in the required input fields.
- Click the corresponding "Test Result" button to view the prediction.
Diabetes Prediction:
Heart Disease:
The application has been deployed using Streamlit. You can access it ๐ CLICK HERE