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WebApp Deployed on Heroku made from Diabetes dataset taken from Kaggle

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TStud/Diabetes-Predictor

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Diabetes Predictor

Overview

WebApp made using Flask API deployed on Heroku cloud platform. The Dataset taken for this task is from Kaggle's Diabetes dataset which got certain parameters on basis of which one can be able to decide if patient is diabetic or not.

Motivation

Creating user friendly UI with which users can easily interact and can see whether they are diabetes patient or not. This deployed project can further be taken to large scale and can be bought in production with more enhancements and advancements. The following project can be considered as the beta or sample version of Diabetes Predictor.

Demo

Screenshots

Image of App

Installation

While making this project I used python 3.7. If you are using any lower variant of python then I recommend you to upgrade your python to the latest version by using pip. Once you clone this repository just type this command in the cloned project directory in order to install all the required packages:

pip install -r requirements.txt

To Run the Project

Once you clone the directory and install all the requirements, simply open terminal in the folder where your project is saved and run the following command:

python app.py

Technologies and Frameworks used

Image of Technologies Made with ♥️ in India 🇮🇳