A curated collection of PHP projects ranging from beginner to expert levels. This repository serves as a learning resource and a practical guide for PHP enthusiasts looking to improve their skills through hands-on projects. Each project includes detailed instructions, code examples, and explanations to help you understand and implement various PHP

A guestbook application where visitors can leave messages

A fully functional image gallery with upload capabilities using PHP, HTML, jQuery, AJAX, JSON, Bootstrap, CSS, and MySQL. This project includes a detailed step-by-step solution with code explanations and documentation, making it a comprehensive tutorial for learning.

A simple contact form that sends an email to the site owner using PHP, jQuery, AJAX, Bootstrap, CSS, and MySQL.

A weather application that fetches and displays weather information from an API using PHP, jQuery, AJAX, Bootstrap, CSS, and MySQL.

A currency converter tool that fetches and displays real-time exchange rates using an external API and allows users to convert amounts between different currencies. Built using PHP, HTML, jQuery, AJAX, JSON, Bootstrap, CSS, and MySQL.

A basic to-do list application built with PHP, where users can add, edit, and delete tasks. Ideal for beginners looking to learn PHP and MySQL.

A basic user registration and login system built with PHP, HTML, jQuery, AJAX, JSON, Bootstrap, CSS, and MySQL. This project demonstrates a simple yet secure way to handle user authentication, including registration, login, and session management.

A basic blogging platform where users can post, edit, and delete articles. Built using PHP, HTML, jQuery, AJAX, JSON, Bootstrap, CSS, and MySQL.

Image Splitter is a powerful PHP script that automates the process of splitting images into smaller grid-based parts. Ideal for creating image puzzles, mosaic art, and other creative projects, this tool features dynamic output directory creation, input validation, and error handling.

A project-based roadmap for mastering machine learning, covering essential concepts like supervised and unsupervised learning, deep learning, NLP, and model deployment. Each phase includes hands-on projects to build practical skills and a strong portfolio.