Rekha Jain

Indian Institute of Technology Indore, Manipal University Jaipur

Papers

Total Citations

H-Index

About

Rekha Jain is a researcher at the forefront of computer vision and natural language processing, with a focus on real-time intelligent systems and multilingual AI. Her most impactful work centers on the implementation of the YOLO algorithm for real-time object detection and tracking, a paper that has garnered 22 citations since 2022. This contribution addresses the critical challenge of processing vast visual data streams, enabling efficient identification and tracking of objects in dynamic environments—a key enabler for applications in surveillance, autonomous systems, and video analytics. Jain also explores the complexities of linguistic AI through her survey on Named Entity Recognition (NER) for Indian languages, which systematically reviews machine learning and NLP approaches for identifying entities like persons, organizations, and locations in linguistically diverse contexts. By bridging the gap between state-of-the-art deep learning architectures and the unique challenges of Indian language processing, her work supports broader inclusivity in AI. With a growing citation record and a dual focus on visual and textual intelligence, Jain is establishing herself as a versatile contributor to applied AI, advancing both real-time perception and language understanding for underrepresented domains.