Intelligent Agent for AI-Based Network Troubleshooting, Predictive Diagnosis and Self-Healing for Reliable Connectivity

Abstract

This paper presents an intelligent AI-enabled chatbot system that will automatically solve network issues, allow predictive diagnostics, and launch self-healing activities to provide stable and reliable connections. The chatbot employs an improved Natural Language Processing (NLP) that listens and answers user queries in real-time, providing instant support for frequent and intricate network troubles. One of the central parts of the system is a predictive analysis engine fueled by a set of machine learning and neural networks trained on a historical network log and performance data. This engine knows where to look to detect trends that indicate a possible failure or deterioration in upstream network speed. It enables the chatbot to warn users and offer tips on preventive actions before a more significant problem occurs. In addition, it is supported by a self-healing module that works with automated scripts and orchestration tools to run pre-configured recovery procedures, such as restarting a service or reconfiguring a component, without human involvement.