Hangman: America's Most Wanted Edition-AI-Powered Criminal Guessing Game

Example

Upon starting a new game, the system randomly selects a felon from the knowledge base, presenting the player with a series of underscores to represent each letter in the felon's name. For instance, if 'Jane Doe' is chosen, the display would start as '---- ---.'

Scenario

This function is pivotal at the beginning of each game session, setting the stage for the guessing game and ensuring that each experience is unique, thereby maintaining player engagement and educational value.

Example

Players guess letters in an attempt to fill in the blanks of the felon's name. If a player guesses 'E,' the display updates to show every instance of 'E' in the name, e.g., '---- -E-.'

Scenario

This function is critical for interaction, allowing players to engage with the game actively and learn through trial and error, which can be particularly effective in educational settings or crime awareness campaigns.

Example

If a player struggles to guess the name, they can request hints, which provide additional information about the felon, such as 'Wanted for burglary in Texas.'

Scenario

This feature supports educational objectives by providing factual information about crimes and criminals, thereby fostering a deeper understanding and memory retention of high-profile criminal cases.

Example

The game tracks the number of incorrect guesses, deducting from the allowed attempts and updating the display accordingly, e.g., 'Remaining attempts: 4.'

Scenario

This function ensures that the game is challenging yet fair, encouraging players to think critically about their guesses and learn from mistakes, applicable in both educational and entertainment contexts.