Jyoti Pruthi
Papers
1
Total Citations
2
H-Index
1
About
Jyoti Pruthi is a researcher at the forefront of assistive technology and human-computer interaction, with a primary focus on sign language detection systems. Her most-cited work, "Recent Trends In Sign Language Detection System Using Machine Learning Algorithms" (2024), provides a comprehensive survey of the field, synthesizing insights from twenty key research publications to map current advances, persistent challenges, and future directions. This study critically examines a spectrum of approaches—from low-power bio-inspired armband solutions to sophisticated neural networks—highlighting Pruthi's ability to bridge hardware innovation with algorithmic development. Her contributions are particularly impactful in making communication technologies more accessible for the deaf and hard-of-hearing community. With her work already garnering citations, Pruthi is establishing herself as a vital voice in the machine learning and assistive tech landscape. Her research not only catalogs the state of the art but also charts a clear path for next-generation systems, making her a key figure for students and researchers interested in the intersection of AI, accessibility, and real-world problem-solving.
Research Focus
Key Achievements
Top Papers
- 1