Online-Health-Prediction-using-Django

Introduction

This project proposes Django-based Online Health Prediction platform. This platform utilizes machine learning models to provide online predictions for various health conditions, including mental disorders, polycystic ovary syndrome (PCOS), and obesity. These predictions stem from trained models using datasets sourced from Kaggle. In addition to offering predictive health analysis, the platform allows users to have the option to download their online health reports generated from the predictions. Moreover, they can conveniently schedule appointments with healthcare professionals by providing their contact details and sending messages directly through the platform. For healthcare professionals, the platform offers the capability to register and manage appointments. Doctors can view and accept appointment requests sent by users.

• Check the entire working of project here
• Check User Login here
• Check how to make appointment request here
• Check how doctors can fix appointment here
• Check the health report generated by this project Health _ Report.pdf

Home Page

Making Appointment Page

Health Prediction Page

Appointment History

Table of Contents

• Introduction
• Features
• Setup
• About files and folders
• Tech-Stack
• Results
• Datasets
• References

Features

• Online Health Predictions: The project has the ability to provide online predictions for mental disorders, PCOS, and obesity based on machine learning models trained on Kaggle datasets.
• Health Report Download: The project allows users to download their online health reports generated from the predictions.
• Appointment Scheduling: It allows users to schedule appointments with healthcare professionals directly through the platform by providing their contact details and sending messages.
• User Registration: This project allows users to register themselves on the platform so that they can predict their health, generate reports and fix appointments with doctors.
• Doctor Registration: This project allows healthcare professionals to register themselves on the platform, enabling them to accept appointment requests from users.
• Appointment Management: This project allows registered doctors to view and manage appointment requests sent by users, streamlining the appointment scheduling process.

**NOTE: ** THIS IS ENTIRELY PREDICTION AND FOR LEARNING PURPOSE. DON'T RELY ON THIS DATA. THIS DOESN'T GIVE ACCURATE AND CORRECT RESULTS.

Setup

• Change the directory to Project

cd <directory to this folder>

• Install Dependencies

pip install -r requirements.txt

• Intall libraries or packages: If not installed, follow this

pip install <module>

• Database setup – Apply migrations

python manage.py makemigrations
python manage.py migrate

• Run application: start development server

python manage.py runserver

• Run application: Start development server

Navigate to http://127.0.0.1:8000/ in your browser

Structure

Here is the breakdown of Django project structure:

• predictHealth (Folder) This is the main root directory of Django project. It contains manage.py file, which is the primary script for managing this Django application.

• home (Folder): This is a Django app. Django apps are reusable components that contain models, views, and other logic specific to a particular functionality.

• static (Folder): This folder stores static files that are served directly by the web server without being processed by Django. This folder contains:

  • CSS files, Images
  • CSV files: Dataset used for training models (source: kaggle)
  • encoders: Folder containing encoders for prediction models.
  • models for prediction: This folder contains saved models for prediction/
  • templates (Folder): This folder contains HTML template files.
  • requirements.txt: This file is for managing dependencies. It lists all the required Python packages and libraries needed for this project to function.

Tech-Stack

• Frontend: HTML, CSS, Bootstrap
• Backend: Python, Django, Sqlite3

Django Version

Django Version: 5.0.2

Results

This section shows the results (Screenshots and Videos)

Video Results

• Check feature of User Login: User Login.mp4
• Check scheduling appointment works: scheduling_appointment.mp4
• Check how doctors can fix appointments: Doctor_Appointment.mp4

Image Results

User Login

Doctor Login

User Dashboard

Doctor Dashboard

Medical History

Appointment History

Doctor Details

Making Appointment

Dataset Used

• Kaggle Obesity Data: Obesity Prediction
• Kaggle Mental Disorder Data: Mental Disorder Classification
• Kaggle PCOS Dataset: PCOS 2023 Dataset

References

• Django Documentation
• Boostrap Examples
• w3schools

Contact Details