Meal Search Web Application

Developed a responsive meal-search web application using the MealDB API, allowing users to search for meals and view meal details including meal ID, name, image, title, and cooking instructions. Implemented dynamic search functionality, result limiting, a “Show All” feature, and automatic clearing of previous results when a new search is performed. Designed a professional interface with responsive styling and structured header and footer sections. Used AI-assisted development tools including Antigravity and V0 alongside Tailwind CSS to support the design, development, and refinement of the application. Managed the project using GitHub and deployed the final version through Netlify.