About this project
AIRA is an AI-powered manufacturing intelligence platform that helps industries quickly identify the root causes of production failures, quality defects, machine breakdowns, and process deviations. Instead of relying on manual investigations that are often slow and inconsistent, AIRA uses Artificial Intelligence, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and a manufacturing knowledge base to analyze production data, machine logs, sensor readings, maintenance records, and operator observations. The system generates a ranked list of possible root causes, explains the reasoning behind each prediction, and recommends industry-standard corrective and preventive actions (CAPA). It also estimates the impact of each issue on production, quality, cost, and downtime, enabling engineers to make faster and more informed decisions. By combining AI-driven analysis with explainable recommendations, AIRA reduces troubleshooting time, minimizes production losses, improves product quality, and supports continuous improvement in smart manufacturing environments. The platform is designed to integrate seamlessly with Industry 4.0 systems and provides an intuitive interface for engineers, supervisors, and plant managers to investigate failures and implement effective solutions.
Manufacturing & Industry 4.0 track
Create intelligent systems for smart factories, predictive maintenance, quality control, and supply chain optimization.