Overview

This is a Disease Prediction App built using python react and flask.It helps to predict diseases of 42 types to a user giving 132 symptoms to the model.

Tech Stack:

1.Python (for backing and making te model)
2.Flask (for model deployment)
2.React Js (for client interface)
4.Scikit - Learn (for model designing)
5.Pandas (for feature engineering)

Installation Guide:

• First git clone the project using command git clone https://github.com/jgyfutub/DiseasePredictionApp.git
• Then open the cloned folder on Visual Studio Code
• Split the terminal so that each terminal can work for backend and frontend

For Reactjs:

• open terminal in VS code and go into DiseasePredictionApp folder if you are not there
• write cd my-app to enter frontend files
• write npm i for all frontend modules to be downloaded
• write npm start to start the frontend server
• go to http://localhost:3000/ to use app

For FLask

• Open Command prompt of your system
• ensure that virtual enviroment and python is installed in system
• write python -m venv venv to enter a virtual enviroment
• write venv\Scripts\activate to activate it
• now cd to backend to access flask file
• install dependencies pip install flask joblib flask_cors scikit-learn==1.2.2
• now write python main.py to start the flask server

Note :

• For viewing the notebook visit https://www.kaggle.com/code/vedant2003pandey/diseaseprediction/notebook or you can view from the notebook above