K Shubeeksh

M S Ramaiah University of Applied Sciences

Papers

Total Citations

H-Index

About

K Shubeeksh is a forward-thinking researcher at the intersection of artificial intelligence, automation, and information retrieval. Their most cited work, "ChatGPT: Information Retrieval from Image using Robotic Process Automation and OCR" (2023, 14 citations), explores the synergy between conversational AI and robotic process automation (RPA) to extract and process textual data from images. This paper highlights the unprecedented speed of ChatGPT’s adoption—reaching 1 million users in just five days—contrasting it with the slower growth of major platforms like Facebook and Netflix, and positions it as a technological revolution. Shubeeksh’s contributions demonstrate how combining OCR with RPA can streamline data extraction, making information retrieval more efficient and accessible. Their work underscores the transformative potential of AI-driven automation in real-world applications, offering practical insights for students and researchers in human-computer interaction and intelligent systems. With a growing citation impact, Shubeeksh is establishing a reputation for bridging cutting-edge AI tools with automation workflows, paving the way for more intuitive and rapid data processing solutions.