The seminar introduced Digital Twins as digital representations of physical assets, processes and systems. It explained how Digital Twins use historical and live data to understand current conditions and predict future scenarios. The session covered applications of Digital Twins in smart manufacturing, predictive analysis, equipment health monitoring, process optimization, risk reduction, maintenance, operational efficiency and industrial automation. It also discussed the integration of AI and ML with Digital Twins and their role in future-ready manufacturing systems.