An Intelligent Techstack Repair Expert System

in the 21st century emerging digital era, keeping computers running smoothly is crucial. Since, maintenance of computers is imperative for efficient operations. This paper developed an intelligent expert system for Hardware-Software Repair Using Artificial Intelligence (AI). The study tries to revolutionize computer maintenance in mitigating the consistent struggle with tech issues that need specialized knowledge, the AI based application system is designed to accept input and generate solutions to the problems accordingly. The research developed and implemented an Intelligent Expert System for computer hardware and software repairs also known as an Intelligent Tech-Stack Repair Expert System using AI. The study employed Natural Language Processing (NLP) techniques to interpret user queries and synonym handling for enhanced query matching. Pre-trained models as BERT and cosine similarity were applied for accurate troubleshooting. Additionally, the system focuses on scalability, a refined user interface, and machine learning (ML) integration was used to enhance its knowledge base and performance. The results significantly improved efficiency in diagnosing and recommending Computer repairs for hardware-software devices.