Sign Language Recognition System
- Developed a computer vision–based recognition system processing video-frame data.
- Achieved 99.61% accuracy using Random Forest and CNN architectures.
- Integrated with Gemini-powered conversational AI for seamless Human-AI interaction.
- Published in Springer Nature, advancing research in assistive AI and accessibility.
Smart Campus Initiatives
- Co-authored "Smart Campus Initiatives: Projects Driving Educational Automation."
- Authored the specific chapter on "Augmenting Learning: Enhancing Textbook Education with Interactive AR Visualizations".
- Received the Best Paper Award at NCTS'23 recognizing excellence in academic research and innovation.