Published Paper Details:

FixiQ is an AI-powered crossplatform tool designed to automate technical support for users facing system setup and maintenance challenges. Manual troubleshooting is time-consuming and inconsistent, while existing tools provide only partial support. FixiQ detects issues in real-time, analyzes them, and provides intelligent resolutions across multiple platforms, improving efficiency and reliability. FixiQ is an AI-powered cross- platform automation tool designed to simplify and optimize technical support processes across diverse computing environments. Traditional troubleshooting methods often require manual intervention, leading to inconsistent results, extended downtime, and increased operational costs. FixiQ introduces a fully automated system that detects, analyzes, and resolves software and hardware issues in real time using artificial intelligence and predictive analytics. The system integrates a Python- based microservice powered by machine learning for anomaly detection, a Node.js backend for event-driven communication, and a React.js frontend for dynamic visualization. By continuously monitoring system logs and performance metrics, FixiQ identifies root causes of issues such as dependency conflicts, network failures, or misconfigurations, and provides intelligent corrective actions. The framework also incorporates predictive maintenance, forecasting potential failures before they occur, thereby improving system reliability and uptime. Experimental results demonstrate up to a 60% reduction in manual troubleshooting time and significant improvements in service response accuracy. The modular and scalable design of FixiQ allows seamless integration with existing enterprise infrastructures and supports multi-platform deployment. The growing demand for fast, efficient, and intelligent technical support services has led to the development of AI-driven automation systems. This paper presents a comprehensive review of UniFix--an AI-powered, cross-platform technical support automation tool that leverages machine learning, natural language processing, and multi-platform deployment capabilities to streamline technical support operations. The study evaluates the current landscape of automated support systems, identifies challenges in conventional IT Service Management (ITSM), and explores the role of AI in transforming the helpdesk industry. UniFix introduces a scalable, adaptive, and intelligent framework capable of understanding user intent, classifying issues, retrieving contextual solutions, and learning from user feedback.