rnonez/mancala-awale

First online version of the African game Mancala-Awale # Awale-Songo (Mancala) A modern, full-featured online implementation of the traditional African strategy game Mancala (also known as Awale or Songo). Built with React, TypeScript, and tRPC, this application offers single-player AI opponents, real-time multiplayer gameplay, global rankings, and comprehensive game statistics. ## Overview Awale-Songo brings the ancient African board game to the digital age with a polished user interface, intelligent AI opponents, and competitive multiplayer features. The game supports both French and English languages and provides a complete gaming experience from casual play to competitive ranked matches. ## Key Features ### Game Modes **Local Two-Player Mode** allows two players to compete on the same device, making it perfect for learning the game rules together or playing face-to-face matches. The interface clearly indicates whose turn it is and provides immediate feedback on valid and invalid moves. **AI Opponent Mode** features three difficulty levels (Easy, Medium, Hard) powered by a minimax algorithm with alpha-beta pruning. The AI provides a challenging experience for solo players, with the Hard difficulty offering strategic gameplay suitable for experienced players. The AI responds within approximately one second per move, maintaining a smooth game flow. **Online Multiplayer Mode** enables players from around the world to compete in real-time matches. Players can create private game rooms with shareable codes or join existing rooms. The system handles turn-based gameplay with automatic state synchronization, ensuring both players see consistent game states. Players can leave and rejoin rooms without disrupting ongoing games. **Spectator Mode** allows users to watch live games in progress, providing an opportunity to learn strategies from other players or follow competitive matches. Spectators can browse available games and join any ongoing match as observers. ### Ranking and Competition The **ELO Rating System** t …