I am currently a 3rd-year student pursuing a Bachelor of Technology in Computer Science Engineering, and my research interests primarily lie in the fields of AI techniques applied to sentiment and emotion analysis, behavioral psychology, leveraging neuroscientific insight to develop or improve the current paradigm of intelligent systems, and using and developing quantum machine learning algorithms.In the past, I have worked on various projects that have helped me gain a deeper understanding of the practical applications of AI. For instance, I implemented a system using PyTorch that utilizes Residual Neural Networks- ResNet 50, ResNet 101, and ResNet 152 to analyze a diverse dataset of irises using iridology to detect diabetes and its extent and type in the subjects of the dataset. I have also implemented a model that utilizes Progressive Growing Generative Adversarial Networks (GANs) along with the Wasserstein Loss Function to augment data for rare disease detection.