Design and Implementation of a Real-Time, Multi-Strategy AI-Powered Web-Based Strategy Game.

Abstract— The paradigm of web applications has shifted from static content delivery to dynamic, real-time interactive systems. This paper presents a comprehensive study on the design, implementation, and performance evaluation of "Sphere Strike," a full-stack, browser-based abstract strategy game. While the core technologies utilized Flask, Socket.IO, and heuristic-based AI are well-established, the novelty of this work lies in their specific synthesis to address a discernible gap in existing digital versions of the game "Chain Reaction." We detail a client-server system architected on a Python Flask backend, utilizing the Socket.IO protocol over WebSockets to facilitate low-latency, event-driven communication. A primary contribution is the engineering of a multi-strategy, heuristic-based Artificial Intelligence (AI) agent with tiered difficulty levels. The agent's intelligence is derived from a detailed heuristic evaluation function, and its most advanced tier employs a 1-ply lookahead search to identify and exploit game-winning tactical opportunities. The system was containerized using Docker and deployed on a cloud platform (Render.com) to validate its production-readiness. Empirical performance evaluation confirms that the system maintains a mean round-trip network latency of under 200ms and an AI move calculation time consistently under 100ms, delivering a seamless user experience.

Real-Time Systems, WebSockets, Socket.IO, Flask, Game AI, Heuristic Functions, Minimax, Client-Server Architecture, Multiplayer Games, Human-Computer Interaction, System Design

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