Cloud Gaming Application Using Artificial Intelligence

Authors- Harshit Agarwal, Professor Dr. Febin Prakash

Abstract-Cloud gaming is an emerging field offering convenient access to high-quality gaming experiences. However, minimizing latency remains a challenge, particularly across diverse network conditions. This paper proposes a novel approach utilizing artificial intelligence (AI) to address these challenges. Our system employs AI algorithms to optimize various aspects of cloud gaming, including video encoding, network routing, resource allocation, and user interaction prediction. Machine learning models dynamically adjust streaming parameters based on real-time network conditions and user preferences, reducing latency and improving visual quality. Additionally, reinforcement learning optimizes server-side resource allocation, enhancing scalability and cost-effectiveness. The integration of AI-driven predictive analytics enables personalized gaming experiences by anticipating user actions and adapting gameplay dynamics accordingly. By analyzing player behavior patterns and preferences, the system tailors game content, difficulty levels, and in-game assistance. Experimental results demonstrate the efficacy of our AI-enhanced cloud gaming system in delivering superior performance compared to traditional approaches. Through comprehensive evaluations, the system exhibits significant improvements in latency reduction, band width efficiency, resource utilization, and user satisfaction metrics.

DOI: /10.61463/ijset.vol.12.issue2.122