Skip to content

A web-based Diabetes Prediction app using Flask and a Random Forest model. Users input health data to receive instant diabetes risk predictions. Built for easy deployment and user-friendly interaction.

Notifications You must be signed in to change notification settings

Code-sHimanshu/Diabetes-Prediction-System

Repository files navigation

Diabetes Prediction - Deployment

Kaggle Python 3.6 scikit-learnn

• This repository consists of files required to deploy a Machine Learning Web App created with Flask on Heroku platform.

• If you want to view the deployed model, click on the following link:
Deployed at: https://predicting-diabetes.herokuapp.com/

• If you are searching for Code, Algorithms used and Accuracy of the model.. you won't find it here. Click the link mentioned below for the same:
Link: https://github.com/anujvyas/Machine-Learning-Projects/tree/master/Diabetes%20Prediction

• Please do ⭐ the repository, if it helped you in anyway.

• A glimpse of the web app:

GIF

----- Important Note -----
• If you encounter this webapp as shown in the picture given below, it is occuring just because free dynos for this particular month provided by Heroku have been completely used. You can access the webpage on 1st of the next month.
• Sorry for the inconvenience.

Heroku-Error

About

A web-based Diabetes Prediction app using Flask and a Random Forest model. Users input health data to receive instant diabetes risk predictions. Built for easy deployment and user-friendly interaction.

Topics

Resources

Stars

Watchers

Forks

Contributors 2

  •  
  •