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    Home»Development»Diabetes Detection System using PHP and MYSQL

    Diabetes Detection System using PHP and MYSQL

    May 3, 2025

    Diabetes Detection System using PHP and Mysql is a web-based technology that allows users to predict the likelihood of diabetes by entering key medical parameters, including Age, Glucose Level, Blood Pressure, and BMI (Body Mass Index). The system analyses the data through a rule-based logic or predictive model and provides results in an easy-to-understand format, helping raise awareness and encourage early detection. In this web application user must register. The primary objective of this application is to assist users in predicting the risk of diabetes and maintaining a record of diabetes-related health parameters for themselves and their loved ones.

    Language Used PHP
    Database MySQL
    User Interface Design HTML, AJAX,JQUERY,JAVASCRIPT
    Web Browser Mozilla, Google Chrome, IE8, OPERA
    Software XAMPP / Wamp / Mamp/ Lamp (anyone)

    Project Modules

    In this project we use PHP and MySQL database and it has two module i.e. Admin and User

    Admin Module

    1. Dashboard: This section of the web application provides the admin with a comprehensive summary of user activity and system usage. It includes real-time statistics related to diabetes predictions and user registrations, offering valuable insights into how the system is being usedlike Today’s Prediction, Yesterday’s Prediction, Last 7 Days’ Predictions, Total Prediction and total registered users.
    2. Reg User’s: In this section, the admin can view the diabetes prediction records along with the personal details of all registered users.
    3.  Reports: In this section, admin can generate below reports
    4. Between dates prediction report
    5. Registered Users Report
    6. Profile: This section allows admin to update and manage their personal profile information.
    7. Change Password: This section enables users to securely update and manage their account password.
    8. Logout: This section allow users to securely exit their account after using the system

    User Module

    1. Dashboard: This section of the web application allows users to conveniently view a summary of their diabetes prediction history like Today’s Prediction, Yesterday’s Prediction, Last 7 Days’ Predictions and Total Prediction.
    2. Diabetes Detection: This section enables users to assess the likelihood of diabetes by entering key health indicators into the system. The input fields include: Age, Glucose Level, Blood Pressure, and Body Mass Index (BMI).
    3. B/W Dates Report: This section allows users to generate detailed reports of diabetes prediction data entered within a specific date range. By selecting a start date and an end date, users can filter and view all prediction records submitted during that period.
    4. Profile: This section allows users to update and manage their personal profile information.
    5. Change Password: This section enables users to securely update and manage their account password.
    6. Logout: This section allow users to securely exit their account after using the system.

    Some of the Project Screens

    Home Page

    DDS PHP Home Page

    User Signup

    DDS PHP User Signup

    Diabetes Prediction Form

    DDS PHP Prediction form

    Diabetes Prediction History

    DDS PHP Predection History

    Registered Users

    DDS PHP Registered Users

    B/w Dates Report

    DDS PHP Bw Dates Report

    How to run the Diabetes Detection System

    1. Download the project zip file

    2. Extract the file and copy diabetes folder

    3.Paste inside root directory(for xampp xampp/htdocs, for wamp wamp/www, for lamp var/www/Html)

    4.Open PHPMyAdmin (http://localhost/phpmyadmin)

    5. Create a database with the name  diabetesdb

    6. Import diabetesdb.sql file(given inside the zip package in SQL file folder)

    7. Run the script http://localhost/diabetes

    **************************Admin Credential**************************
    Username: admin
    Password: Test@123

    **************************User Credential**************************

    Email: rahul12@gmail.com
    Password: Test@123

    OR Register a new user.


    Project Demo

    View Demo

    Diabetes Detection System Project Download Link

    Download Diabetes Detection System Project, Report, and PPT in Rs 499 / $5.91

    The post Diabetes Detection System using PHP and MYSQL appeared first on PHPGurukul.

    Source: Read More 

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