International Journal of Science, Engineering and TechnologyAuthors: Assistant Professor Chandani Lachake, Rupali Talekar, Aishwarya Salunke, Namrata Biradar, Kalyani Patekar
Abstract: With the rapid growth of modern network infrastructures, the need for intelligent, real-time monitoring and automated management systems has become increasingly important. Conventional network management approaches often rely on manual intervention and lack predictive capabilities, resulting in delayed fault detection and reduced system efficiency. This paper presents a Smart AI-Based Network Assistant Using Raspberry Pi, a plug-and-play solution designed for real-time monitoring, automation, and intelligent diagnosis of network infrastructure. The proposed system leverages the capabilities of Raspberry Pi integrated with artificial intelligence techniques to continuously analyze network parameters such as latency, packet loss, and bandwidth utilization. The system is capable of detecting anomalies, generating alerts, and performing automated corrective actions to minimize downtime and improve network reliability. Experimental results indicate that the proposed solution enhances system performance, reduces manual effort, and provides a cost-effective and scalable approach for network management. The architecture is compact, energy-efficient, and suitable for both small-scale and enterprise-level deployments.
