PHP-Based Laboratory Management System with Full Source Code

PHP-Based Laboratory Management System with Full Source Code

About Project
The Laboratory Management System is built using PHP, CSS, Bootstrap, and JavaScript. This system focuses on managing inventory and transactions in a laboratory setting. The project primarily features an admin panel where the administrator can oversee all functions, ensuring smooth operation and control over the system.

About System
In terms of functionality, the system allows the admin to handle tasks such as managing transactions, which include reservations, borrowed items, and returned items. For each new transaction, the admin selects a borrower, the items involved, a room, and a time limit. When adding new items, the admin inputs essential details like the device ID, model, category, brand, description, quantity, type, and price, along with a photo. Other features include the ability to manage faculty, rooms, and inventory. The system also presents the data visually, using graphs and pie charts for better understanding. Additionally, user management functionality helps in controlling access to the system efficiently.

The design of this system is simple and user-friendly, ensuring ease of use. The Laboratory Management System in PHP supports seamless inventory and transaction management. To run this project, a virtual server like XAMPP must be installed on the user’s PC (for Windows users).

Features:

• Login System
• User Management System
• Manage Transactions
• CRUD Operations for Items and Rooms
• Add Students and Faculty
• Manage Inventory
• View Graphs, Charts, and History

How to Run the Application:

After starting Apache and MySQL in XAMPP, follow these steps:

Step 1: Extract the file.

Step 2: Copy the main project folder.

Step 3: Paste it into the xampp/htdocs/ directory.

Connecting to the Database:

Step 4: Open a browser and go to the URL “http://localhost/phpmyadmin/”.

Step 5: Click on the “Databases” tab.

Step 6: Create a database named “lms19” and then click on the “Import” tab.

Step 7: Click on “Browse file” and select the “lms19.sql” file located in the “DATABASE” folder.

Step 8: Click on “Go”.

After Creating the Database:

Step 9: Open a browser and go to the URL “http://localhost/labmanagement/”.

Provide the username and password specified in the “Readme.txt” file.