Shradha Reddy Prodduturi

Papers

Total Citations

H-Index

About

Shradha Reddy Prodduturi is a researcher at the forefront of accessible human-computer interaction, with a primary focus on computer vision and assistive technology. Her most notable contribution, "Vision-based Hand Gesture Recognition for Indian Sign Language Using Convolution Neural Network" (2023), tackles the critical challenge of bridging communication gaps for the hearing-impaired community. By leveraging deep learning architectures, Prodduturi’s work demonstrates how convolutional neural networks can accurately interpret complex, dynamic hand gestures specific to Indian Sign Language, offering a scalable, vision-based solution that eliminates the need for wearable sensors. This research, published in the peer-reviewed IJCERT, has already garnered 3 citations, signaling its early impact in the niche but vital field of regional sign language recognition. Her approach not only advances gesture recognition algorithms but also emphasizes cultural and linguistic inclusivity, setting a foundation for more accessible assistive technologies. Prodduturi’s work stands as a promising step toward real-time, cost-effective communication tools, making her a rising voice in applied machine learning for social good.