-3dc97f3d182b6b0ed3d-77dc 20220827025705149 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 09 30 2022 11 10 Research Scholar, Artificial Intelligence & Robotics, College of Engineering, Pune (Maharashtra), India. Utkarsh R Moholkar Dipti D Patil Associate Professor, Department of Information Technology, MKSSS’s Cummins College of Engineering for Women, Pune (Maharashtra), India. Vinod Kumar Director, U.R. Rao Satellite Centre, Indian Space Research Organization, Bengaluru (Karnataka), India Archana Patil Assistant Professor, Department of Computer Engineering & Information Technology, College of Engineering, Pune (Maharashtra), India. It is one of the biggest challenges to land an unmanned aerial vehicle (UAV). Landing it by making its own decisions is almost impossible even if progress has been made in developing deep learning algorithms, which are doing a great job in the Artificial Intelligence sector. But these algorithms require a large amount of data to get optimum results. For a Type-I civilization collecting data while landing UAV on another planet is not feasible. But there is one hack all the required data can be collected by creating a simulation that is cost-effective, time-saving, and safe too. This is a small step toward making an Intelligent UAV that can make its own decisions while landing on a surface other than Earth's surface. Therefore, the simulation has been created inside gaming engine from which the required training data can be collected. And by using that training data, deep neural networks are trained. Also deployed those trained models into the simulation and checked their performance 09 30 2022 1 4 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J9263.09111022 https://www.ijitee.org/portfolio-item/j926309111022/