Network performance plays a crucial role in ensuring smooth communication, fast data transfer, and reliable connectivity in modern digital systems. However, many networks face issues such as slow speed, congestion, and inefficient bandwidth usage due to increasing data traffic and limited optimization techniques. Traditional network management methods often fail to dynamically adapt to changing network conditions. This study focuses on the development of a Network Optimizer using Artificial Intelligence (AI) to monitor, analyze, and improve network performance. The system collects network data such as speed, latency, and bandwidth usage, and applies AI techniques to identify performance issues and optimize network parameters automatically. Artificial Intelligence helps predict network congestion, recommend optimal configurations, and enhance overall network efficiency. By integrating AI-based analysis with network monitoring tools, the system improves reliability, speed, and resource utilization in network environments. The proposed solution supports efficient network management, reduces downtime, and ensures better connectivity for users