Vedika Gupta

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About

Vedika Gupta is a researcher at the forefront of applying deep learning to natural language processing and computer vision, with a particular focus on signboard transliteration. Her work addresses the critical challenge of converting visual text from multilingual signboards into machine-readable, transliterated formats—a task essential for real-world applications in navigation, accessibility, and intelligent transportation systems. In her highly cited 2021 review, "Review of Signboard Transliteration Using Deep Learning," Gupta systematically analyzed state-of-the-art neural architectures for text detection and recognition in complex, real-world environments, providing a foundational roadmap for researchers tackling script diversity and visual noise. This work has garnered 2 citations, reflecting its early but significant impact in a niche yet rapidly growing field. Gupta’s contributions lie in bridging the gap between deep learning theory and practical, deployable systems for multilingual text understanding. Her research not only advances technical methodologies but also holds promise for improving digital inclusivity in linguistically diverse regions. As a rising voice in applied AI, Vedika Gupta continues to shape how machines interpret and translate the visual world around us.