How it works: - Using a 3.8 Million Rows Reddit dataset from Hugging Face - Narrowing it down to gaming-related subreddits like r/gaming, r/dota2, r/leagueoflegends - Using ML, particularly BERT-embeddings and simple cosine similarity, to find and extract 30,000 keywords from the subreddits - Preprocessing the data to clean up keywords not suitable for crossword words - Employing a heuristic crossword algorithm to create grids and place words - Sending words and context to a Large Language Model to generate clues The overengineered charm: I'll be the first to admit, this project might be a tad overengineered for what it is. But hey, that's part of the fun, right? It's like using a gaming PC to play Minesweeper. A word of caution: Since we're dealing with Reddit data, there might be some colorful language in the mix. I didn't manually filter out any potentially offensive words, so consider this your PG-13 warning! I'm curious: what other topics do you think would make great themed crosswords? Share your ideas. I'd love to create a whole series of niche puzzles for different communities!

🕹️ Joystick Jargon

Crossword Puzzle for Gamers and other Word Nerds

Crossword Puzzle for Gamers and other Word Nerds