Guess Who Generator

Generates Guess Who-style character configurations and clue sets for rapid game design. The tool targets educators, event organizers, game creators, and hobbyists who want repeatable content without scripting each character. Input options define the pool size, desired themes, and how many distinguishing traits each character should carry. It avoids personal data and favors abstract attributes to keep content classroom-safe. Users can select educational or entertainment themes, such as animals, professions, or color-based descriptors, and optional gender diversity to reflect inclusive design. The generation process emphasizes consistency, reproducibility with a seed, and clear trait documentation per character.
Core logic relies on trait templates and a controlled randomization workflow. Required inputs include character_count, theme_set, traits_per_character, and an optional seed. Optional parameters enable richer constraints: trait pools with categories, minimum/maximum occurrences of each trait, and a diversity rule to avoid duplicates. The algorithm assigns a base silhouette, main attributes, and a short clue set, ensuring each character is distinctive while preserving overall balance across the pool. Output structures bundle each character with an ID, trait list, and a human-readable summary suitable for printing or programmatic use.
Outputs support downstream workflows: JSON for apps, CSV for printable boards, and optionally labeled sheets per theme. The tool provides deterministic results when a seed is used and non-deterministic results otherwise. Error handling covers invalid ranges, missing required inputs, and out-of-range trait counts. Localization considerations include aligning themes and trait terms to locale norms and educational standards. Content excludes sensitive data and profanity.