Ayush Tushar

Papers

Total Citations

H-Index

About

Ayush Tushar is a researcher at the forefront of applied artificial intelligence, with a primary focus on computer vision and automation systems. His most cited work, "Automatic Billing System using Resnet and Image AI," demonstrates his commitment to solving real-world retail challenges through deep learning. By leveraging ResNet architectures and image recognition technologies, Tushar has contributed to the modernization of retail infrastructure, aiming to reduce operational costs and human dependency in billing processes. His research addresses the growing demand for automated solutions in industries seeking to streamline workflows and enhance efficiency. With 2 citations on his flagship paper, Tushar's work represents an early but promising step toward practical AI deployment in commercial settings. His contributions align with broader trends in intelligent automation, where machine learning models are increasingly integrated into everyday business operations. As a researcher, Tushar continues to explore how deep neural networks can transform traditional manual processes, making his work particularly relevant for students and practitioners interested in the intersection of AI, computer vision, and industrial automation.