• KSrikanth
• K.Venkateswara Rao
• Shaik Nazima
• Shaik Razia
• Shaik Abida Masthani , Nemalikanti Pratyusha

Artificial Intelligence (AI) is revolutionizing engineering across multiple disciplines by enhancing design processes, optimizing systems, and improving efficiency. This paper explores the transformative applications of AI in engineering, focusing on key areas such as predictive maintenance, autonomous systems, and smart manufacturing. Predictive maintenance utilizes machine learning algorithms to forecast equipment failures, thereby reducing downtime and maintenance costs.Autonomous systems, including self-driving vehicles and robotic process automation, leverage AI to perform tasks with minimal human intervention, improving safety and productivity.Smart manufacturing employs AI-driven analytics to optimize production processes, enhance quality control, and enable real-time decision-making. By integrating AI into engineering workflows, organizations can achieve greater precision, efficiency, and innovation. The paper also discusses the challenges and limitations associated with AI implementation, including data privacy concerns and the need for robust algorithms. Overall, AI's integration into engineering holds the potential to significantly advance the field, offering novel solutions and improving operational outcomes.

ArtificialIntelligence(AI),Engineering,PredictiveMaintenance,AutonomousSystems, Smart Manufacturing, Machine Learning, Optimization, Design Processes,Efficiency, Robotic Process Automation, Quality Control, Data Privacy, Algorithm Robustness, Innovation.

"ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.176-183, November-2024, Available :http://www.jetir.org/papers/JETIRGO06017.pdf

"ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. pp176-183, November-2024, Available at : http://www.jetir.org/papers/JETIRGO06017.pdf