
ONA Films is a React-based movie discovery platform designed to help users explore films, trending releases, and detailed movie information through a fast, intuitive interface. The application connects to real-time movie data to present searchable listings, dynamic categories, and up-to-date content, allowing users to browse, filter, and discover movies effortlessly. The project was built as a collaborative effort, with a strong focus on usability, performance, and responsive interaction across devices.
ONA Films delivers a smooth, engaging user experience through a clean UI system and responsive layouts optimized for both desktop and mobile. Interactive components such as sliders, filters, and dynamic views enhance navigation, while careful attention to error handling and interface feedback ensures reliability. Designed and iterated using modern UI/UX practices, the platform demonstrates scalable frontend architecture, collaborative workflow management, and practical integration of real-time API data into a polished application.
Defined the core goals of the application, focusing on movie discovery, trending content, and detailed movie views. Identified key features such as search, filtering, and responsive navigation.
Designed the interface and layout system with an emphasis on clarity, responsiveness, and intuitive browsing. Iterated on wireframes and visual elements to ensure smooth user flow across pages.
Integrated the TMDB API to fetch real-time movie data, including trending titles, movie details, and media assets. Implemented error handling and loading states to ensure reliable data presentation.
Built the application using React with a component-based architecture. Developed reusable UI components for movie cards, sliders, filters, and detail views.
Optimized layouts for multiple screen sizes and devices. Enhanced user interaction with smooth navigation, sliders, and dynamic content updates.
Tested application behavior across devices and edge cases. Refined UI interactions, fixed bugs, and improved overall usability based on peer feedback.