Education sector is undergoing technological transformation to effectively implement teaching -learning process, particularly post COVID period. Students are attracted more towards AI based tools to gain the knowledge. The research in this sector will help to boost delivery of knowledge in more effective manner.  
 
 

Health care sector finds extensive applications which use the information technology. It has intervention in enhanced decision-making support for healthcare professionals, addressing various medical challenges such as personnel allocation and scheduling, automated sensing, advancements in medical devices and manufacturing processes, and optimization of the supply chain.  
 

In agriculture, AI optimizes crop management with precision farming techniques, utilizing data-driven insights for efficient resource allocation and pest control. Automated machinery, guided by AI algorithms, enhances productivity, reduces waste, and contributes to sustainable agricultural practices, fostering increased yields and environmental stewardship.  
 

AI transformed the aerospace, transportation, and manufacturing industries by optimizing system design, implementing autonomous navigation, and streamlining logistics management. In the power systems sector, it improves grid efficiency, enables predictive maintenance, and enhances cyber security, contributing to the development of a more intelligent and robust energy landscape for industry and business.

AI is revolutionizing the energy sector through the optimization of resource utilization, and improving sustainability. It leads to enhancement of energy grid efficiency, enabling real-time monitoring, predictive maintenance, and fault detection. Smart algorithms contribute to the integration of renewable energy sources, ensuring a seamless and reliable power supply. AI-driven analytics also aid in demand forecasting, facilitating better energy management strategies.  

In defense and information security, AI fortifies cyber defenses through advanced threat detection, predictive analysis, and real-time monitoring. Machine learning algorithms bolster proactive measures, ensuring a robust defense against evolving cyber threats while offering rapid response capabilities. The integration of AI in this domain enhances strategic decision-making, safeguarding sensitive information and critical infrastructures.