Codenames is a word association game where two teams guess secret words based on one-word clues. The game involves a 25-word grid, with each team identifying their words while avoiding the opposing team’s words and the “assassin” word.

I knew that word embeddings could be used to group words based on their semantic similarity. This seemed like a good way to cluster words on the board and generate clues. I was largely successful in getting this to work along with few surprises and learnings along the way.

Wordle is a web-based word game which has become incredibly popular during the pandemic. It became so popular over a while that it was even bought by New York times for a significant sum and is currently hosted there. The game is a lot of fun to solve manually, but I am also interested in solving this computationally. This is my attempt at coming up with a solution strategy for the game.