Yantra AI -- An intelligence platform which interacts with manufacturing operations
Varshini Krishnamurthy

TL;DR
This paper presents Yantra AI, an intelligent manufacturing platform integrating machine learning, real-time visualization, and AI assistants to enhance operational efficiency, energy management, and predictive maintenance in Industry 4.0 settings.
Contribution
It introduces a scalable, real-time AI-driven production system with integrated virtual assistant and visualization tools for manufacturing operations.
Findings
Improved operational efficiency and decision-making.
Enhanced energy management and predictive maintenance.
System scalability demonstrated with simulated data.
Abstract
Industry 4.0 is growing quickly, which has changed smart production by encouraging the use of real-time tracking, machine learning, and AI-driven systems to make operations run more smoothly. The main focus of this dissertation is on creating and testing an intelligent production system for XRIT that solves important problems like energy management, predictive maintenance, and AI-powered decision support. Machine learning models are built into the system, such as the Random Forest Classifier for proactive maintenance and the Isolation Forest for finding outliers. These models help with decision-making and reducing downtime. Streamlit makes real-time data visualisation possible, giving workers access to dashboards that they can interact with and see real-time observations.The system was tested with fake data and is made to be scalable, so it can be used in real time in XRIT's production…
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Taxonomy
TopicsInternet of Things and AI · Digital Transformation in Industry · Smart Systems and Machine Learning
