AI Number Guessing Game
1. Introduction
The AI Number Guessing Game is a project where an artificial intelligence system attempts to guess a number selected by the user using an intelligent narrowing strategy. The system uses feedback (too high, too low, or correct) to refine its guesses. This project demonstrates fundamental AI concepts such as search algorithms, decision making, and user interaction.
2. Objective
- Create an interactive game where AI guesses a number based
on user feedback.
- Use binary search or similar narrowing strategy for efficient guessing.
- Develop a user interface to interact with the AI.
- Demonstrate the practical use of basic AI strategies.
3. System Architecture
The system consists of:
- **User Interface**: Interface for user to provide feedback.
- **AI Engine**: Implements the narrowing strategy to guess the number.
- **Control Logic**: Coordinates interaction between the AI and user.
4. Technologies Used
- Python: Programming language.
- Tkinter or CLI: For user interface.
- Algorithms: Binary search or adaptive narrowing strategies.
- Optional NLP Integration: For natural language input/output.
5. Functional Modules
- **Number Range Setup**: Defines lower and upper bounds for
the guess.
- **AI Guess Generator**: Calculates the next guess based on previous feedback.
- **Feedback Processor**: Accepts user input (too high/low/correct).
- **Game Controller**: Manages game state, rounds, and results.
6. Sample Workflow
1. User selects a secret number within a defined range
(e.g., 1 to 100).
2. AI makes an initial guess (e.g., midpoint).
3. User provides feedback: "too high", "too low", or
"correct".
4. AI adjusts the guessing range based on feedback.
5. Steps 2-4 repeat until AI guesses correctly.
6. Display the number of attempts taken.
7. AI Strategy
The AI uses a binary search algorithm for optimal guessing.
At each step, it chooses the midpoint of the current range and adjusts the
range based on user feedback:
- If the guess is too high: new upper bound = guess - 1.
- If the guess is too low: new lower bound = guess + 1.
- Repeat until the correct number is found.
8. Enhancements and Extensions
- Add voice input/output using speech recognition and TTS.
- Use graphical interface for a more engaging experience.
- Track performance statistics across sessions.
- Allow the user to guess and AI to select the number (role reversal).
9. Conclusion
The AI Number Guessing Game is a simple yet powerful project that introduces core AI concepts in a hands-on manner. It reinforces understanding of algorithms, user interaction, and feedback-driven logic.