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NLP-powered word based game to find out who is the real lexicon legend

License: MIT License

JavaScript 5.90% Python 65.07% CSS 7.88% HTML 21.15%
flask nlp-machine-learning socket-io

lexicon-legends's Introduction

Lexicon Legends

lexicon-legends-art

Introduction

Challenge your friends in this 1v1, real-time, NLP-powered, word based game, to find out who is the real lexicon legend. Made in collaboration with Yash Goyal.

Functionality

  • Lexicon Legends is a word game web-based app that allows users to 1v1 their friends and rank up with Elo rating.
  • Once a game room is made and started, the players have to blitz out similar words to the randomly generated one.
  • The player with the best average score accross their inputs wins and is rewarded by some Elo whereas the player who lost loses Elo.
  • We used sentence-transformers to calculate text similarity between the user inputs and the randomly generated words.

What's Next?

  • In the future, we plan to add more features to Lexicon Legends to enhance the gameplay experience. This includes adding different game modes, allowing players to select difficulty levels, and adding a leaderboard to track player scores.
  • Optimizing the game further to ensure smooth and seamless gameplay for players.
  • Adding several other mini-word-games. With a wide range of options to choose from, we think that players will enjoy our games more and more, and will improve their vocabulary in the process.

End-User Flow Chart

llegends-flow-chart

Screenshots

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lexicon-legends's People

Contributors

ycatsh avatar samkas125 avatar samkas126 avatar

Stargazers

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