Diabetes Detection System using PHP and MYSQL

The Diabetes Detection System using PHP and MySQL is a feature-rich and academically aligned final year project, designed for students pursuing BCA, MCA, B.Tech, M.Tech, or BE. Developed using PHP and MySQL, this project offers a practical solution to real-world problems, making it ideal for final-year academic submissions. Moreover, it provides both functional and educational value, helping students strengthen their programming, database, and system design skills.

Importantly, the project package includes a complete and structured source code, MySQL database, and a detailed final year project report exceeding 35 pages. The documentation follows a standard academic format and contains all essential diagrams—ER Diagram, Use Case Diagram, Class Diagram, and DFD (Level 0, 1, 2). These diagrams are explained clearly, helping students understand both the logical and physical design of the system.

 What’s Included in the Project Package?

When you download this project, you’ll receive:

 Full source code (PHP + MySQL)

 SQL database file

 Project Report in DOC/PDF format

 ER Diagram, Use Case Diagram, DFD, Class Diagram, Database Schema

 PPT presentation for viva

 Step-by-step installation guide

 Suitable For:

• BCA Final Year Project
• MCA Final Year Project
• B.Tech / BE Final Year Project
• B.Tech / BE Final Year Submission
• B.Tech / BE / M.Tech Academic Project
• BCA Final Year Project Report
• MCA Final Year Project Report
• B.Tech  Final Year Project Report
• BE  Final Year Project Report

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.

In this project, we use PHP and MySQL database, and it has two module,e 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 used like 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

• Between dates prediction report
• Registered Users Report

4. Profile: This section allows admin 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

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 allows users to securely exit their account after using the system.