Aman Tiwari

Papers

Total Citations

H-Index

About

Aman Tiwari is a researcher at the forefront of applied artificial intelligence, with a primary focus on automating retail and industrial processes through deep learning. His most cited work, "Automatic Billing System using Resnet and Image AI" (2021), which has garnered 2 citations, introduces a novel approach to modernizing retail infrastructure. By leveraging ResNet architectures and Image AI, Tiwari’s system enables automated product recognition and billing, significantly reducing human dependency in stores and workshops. This contribution addresses the growing demand for cost-effective, high-speed automation in the age of Industry 4.0. Tiwari’s research demonstrates a practical application of computer vision to streamline everyday commercial operations, offering a scalable solution that speeds up transactions and minimizes manual labor. His work is particularly notable for bridging the gap between advanced neural network models and real-world retail challenges, making automation accessible to small and medium enterprises. As an emerging voice in applied AI, Tiwari’s contributions highlight the transformative potential of deep learning in traditional industries, paving the way for smarter, more efficient infrastructure.