This project is a web application that uses machine learning to predict diseases based on patient symptoms and medical history. The application has 3 user types - doctors, patients, and administrators. Patients can input symptoms and the application will predict potential diseases. It also allows online doctor consultations and integrates with a PostgreSQL database backend. The machine learning model is a Naive Bayes algorithm trained on patient data.

1. Banaras Hindu University
BHU Varanasi,221005
Web-based Application Predicting
Diseases
MCA 4th sem. Project Presentation
SUPERVISOR :
Dr. Manoj Kumar Singh
Associate Professor
SUBMITTED BY :
Himanshu Kumar
(21419MCA018)

2. Introduction
Project Scope
Software Requirements
Functional Requirements
Architecture of the System
Machine Learning Model
Django Framework
PostgresSQL
Database Schema
User Interfaces
Conclusion
2

3. The " Web-based Application Predicting Diseases "
project is a web application that uses machine learning
algorithms to predict the likelihood of a patient having a
certain disease based on their symptoms and medical
history. This project is designed to provide patients and
healthcare professionals with a reliable and efficient
diagnostic tool.

4. SCOPE OF PROJECT
• The disease prediction system has 3 users as doctor, patient, and admin.
• The system allows the patient to give symptoms and according to those symptoms, the system
will predict a disease.
• The system suggests doctors for predicted diseases
• The system allows online consultation for patients.
• In future will try to implement this system which prescribe medicine from past history
• We will arrange the video conferencing talking to doctor.
• We can use the AI to develop the chatbot.

5. SOFTWARE REQUIREMENT
The software requirement means the operating system and all other applications or tools used for the
development of the proposed system.
 Operating System : Windows 10 and Above
 Programming Language : Python
 Framework : Django, Bootstrap, jQuery
 Database : PostgreSQL
 Browser : Google Chrome, Firefox
 Front End : HTML, CSS, JavaScript,
 Tool : VS Code, pgAdmin

6. FUNCTIONAL REQUIREMENT
• Login
• Register
• Input
• Check disease
• Diagnosis report
• Access to Medical Resources
• Consultation
• Feedback

7. ARCHITECTURE OF THE SYSTEM

8. MACHINE LEARNING MODEL
• The machine learning model used in the project is the “Naive Bayes algorithm”, which is
trained on a preprocessed dataset of patient records.
• The model takes input from the back-end of the web application, which includes the symptoms and
medical history of the patient, and generates a prediction of the likelihood of the patient having a
particular disease.

9. DJANGO FRAMEWORK
The Django is a high-level Python framework that helps in the rapid development and clean design,
Django makes it easier to build applications more quickly, efficiently and with less code.
Database connection: Creating superuser: Migrations:

10. POSTGRES
• In this project, PostgreSQL is used as the
backend database to store and manage the
application data.
• The project utilizes the pgAdmin tool for
managing the PostgreSQL database.
Patient Table:

11. DATABASE SCHEMA

12. USER INTERFACES
Login Page: Symptoms List:

13. CONTINUED..
Predicted Disease: Chat Window:

14. In conclusion, this project is a web application that uses
machine learning to Predict diseases based on user input
data. The project has a user-friendly interface that allows
users to enter their Symptoms and get a list of potential
diseases. The application also includes a Chatbot feature
that provides the facility to chat between patients and
doctors.

15. THANK
YOU
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