Tanupriya Choudhury

Graphic Era University, Amity University, University of Petroleum and Energy Studies

Papers

Total Citations

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About

Tanupriya Choudhury is a forward-thinking researcher whose work sits at the intersection of computer vision, artificial intelligence, and human-robot interaction. Her primary research areas include object recognition, agricultural robotics, and intelligent waste management systems. Choudhury’s most influential work, “Color-Driven Object Recognition,” combines color detection with machine learning to enhance computer vision for applications in robotics and autonomous systems, earning 11 citations. She also made early contributions to agricultural technology with her 2016 paper on “Agribot” for seed cultivation, which has been cited 8 times and highlights her interest in deploying machine intelligence for practical, labor-intensive tasks. Her recent work on AI-enhanced recycling processes and PDF-based chatbot development using LLAMA2 and LangChain demonstrates a continued focus on applying AI to real-world challenges. Additionally, her research on hand gesture recognition for industrial robots underscores her commitment to improving human-machine interaction. With a growing citation record and a portfolio spanning from agriculture to document interaction, Choudhury is establishing herself as a versatile researcher dedicated to making AI more accessible and impactful across diverse domains.