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The Trie data structure is a tree that stores words by their prefix. This allows for fast lookups of words that start with a given prefix. The Trie data structure is often used with these sorts of string related features like autocomplete, spell check, and IP routing\n\n\u003e Note: This is a simple feature example website. The style is not the focus of this project\n\n## Demo\n\n- [https://react-autocomplete-two.vercel.app](https://react-autocomplete-two.vercel.app)\n\n### Screenshot\n\n![screenshot](./screenshot.webp 'screenshot')\n\n## Installation\n\n- Clone the repo and run `npm install` to install the dependencies\n- Run `npm run dev` to start the development server\n- Go to `http://localhost:5173` to view the application\n\n## Usage\n\n- Start typing in the input field to see the autocomplete suggestions\n- If you type a word that is in the suggestion list, that word will be shown and the other suggestions will be filtered out\n- You can add a new word to the suggestion list by typing it in the input field and pressing the enter key or clicking the \"Add Word\" button\n\n\u003e Note: This is only a front-end application. The data is not persisted anywhere so if you refresh the page, the list of suggestions will be reset to the default list.\n\n## License\n\n- [MIT](LICENSE.md)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Femanuelefavero%2Freact-autocomplete","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Femanuelefavero%2Freact-autocomplete","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Femanuelefavero%2Freact-autocomplete/lists"}