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Intelligent Agent for AI-Based Network Troubleshooting, Predictive Diagnosis and SelfHealing for Reliable Connectivity
Monisha D. R.1, Poornima Devi M.2
1Monisha D. R., Department of Computer Science, Sri Ramachandra Institute of Higher Education, Chennai (Tamil Nadu), India.
2Poornima Devi M., Department of Computer Science, Sri Ramachandra Institute of Higher Education, Chennai (Tamil Nadu), India.
Manuscript received on 28 July 2025 | First Revised Manuscript received on 12 August 2025 | Second Revised Manuscript received on 06 September 2025 | Manuscript Accepted on 15 October 2025 | Manuscript published on 30 October 2025 | PP: 11-14 | Volume-12 Issue-10, October 2025 | Retrieval Number: 100.1/ijies.H111212080825 | DOI: 10.35940/ijies.H1112.12101025
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Chatbot, AI, NLP, Predictive Diagnosis, Network Troubleshooting, Self-Healing, Machine Learning, Network Automation.
Scope of the Article: Artificial Intelligence Algorithms
