Project Overview

This project features a sliding puzzle game implemented in Python using the Pygame library. It combines classic gameplay mechanics with additional features aimed at enhancing the user experience, including customizable grid sizes and a strategic helper tool.

Features

- Classic Sliding Puzzle: Players move tiles to recreate a target pattern.
- Customizable Grid Sizes: Players can choose between a 3x3 or 4x4 grid for varied difficulty levels.
- Helper Mechanic: After a defined number of moves, players gain the ability to swap any two tiles of their choice, providing strategic depth to the game.

Improvements in Progress

1- Solver Implementation with A*
- We are integrating the A* algorithm to provide an automatic solution finder.
- This feature will help players see the most efficient path to solve the puzzle.
- Currently, we are fine-tuning the algorithm to ensure optimal performance across different grid sizes.

2- Machine Learning Integration
- Future iterations will include a machine learning model trained on solver data (epochs).
- The ML model will analyze past solutions to make autonomous decisions and guide players with the best moves.
- This feature aims to combine AI and gaming to provide an educational and interactive experience.

Highlights

- Interactive Gameplay The helper mechanic introduces a strategic layer, making the game accessible to all skill levels.
- Expandable Design The modular codebase allows for easy updates and integration of new features, such as AI.
- Source Code Available on GitHub.

Future imporvements

- Advanced AI: Enhance the machine learning model for better decision-making.
- UI Enhancements Add more dynamic visuals and animations to improve user engagement.
- Multiplayer ModeIntroduce competitive features to allow multiple players to challenge each other.

Conclusion