Word(le) Finder

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Welcome to Word(le) Finder, a web project designed to help players of the popular game Wordle, find suggestions for words based on the letters they have guessed and their corresponding feedback (green, yellow, and grey). This project utilizes Next.js 14, Dictionary API, Datamuse API, Shadcn, and Tailwind CSS to provide an interactive and informative experience for users.

Features

  • Letter Input: Users can input the green, yellow, and grey letters they have received in the game.
  • Word Suggestions: Based on the provided letters and feedback, Word(le) Finder generates word suggestions to assist players.
  • Meaning Lookup: In addition to word suggestions, users can also view the meaning of each suggested word.
  • Intentional Wrong Suggestions: To maintain the fun and challenge of the game, Word(le) Finder includes intentional wrong suggestions alongside valid ones.

Technologies Used

  • Next.js 14: A React framework providing server-side rendering and other powerful features for building web applications.
  • Dictionary API: Utilized for retrieving word meanings.
  • Datamuse API: Used for generating word suggestions based on provided letters and feedback.
  • Shadcn: Used for beautifully made tailwind components.
  • Tailwind CSS: A utility-first CSS framework for building custom designs quickly.

I've Used

Next.jsDictionary APIDatamuse APIShadcnTailwind CSS