A Wordle solver built using CMU CS Academy Python during my freshman year of high school (2023-2024) — the very start of my coding journey. The tool interactively filters the word list based on green/yellow/grey clues, visually displaying remaining candidates and automatically converging on the solution with entropy-based guess selection.
- Solves Wordle in an average of 3.4 guesses.
- Built an interactive visual interface with color-coded feedback.
- Constraint satisfaction problems are elegant to solve with iterative filtering.
- Information theory (entropy) provides a principled approach to optimal guessing.