Final Year Project BTP Evaluation & Progress

This presentation explores advancements in geospatial AI through a comprehensive project. It delves into techniques such as Conditional GANs, U-Net, and PatchGAN for 3D modeling, tackling challenges like dataset generalization and structural depth gaps. Innovative approaches like adversarial training and data augmentation were implemented to enhance output sharpness and stability. Results reveal significant improvements in 3D modeling accuracy and offer scalable solutions for applications...