Keyaan Shah publishes research paper!

IGCSE Grade 10 student, Keyaan Shah’s research paper on Long Short-Term Memory-Based (LSTM) Sign Language Detection System, proposing a novel approach for detecting sign language, gestures has recently been published on IEEE Xplore, a digital library for discovery and access to scientific and technical content published by the the Institute of Electrical and Electronics Engineers (IEEE). The IEEE is the world's largest technical professional organization with over 427,000 members in more than 190 countries, and is dedicated to advancing technology for the benefit of humanity. The paper can be accessed on https://ieeexplore.ieee.org/document/10367076.

Keyaan's research paper was also selected for presentation at four IEEE Conferences:
- International Conference on Recent Advances in Information Technology for Sustainable Development (ICRAIS) at Manipal Institute of Technology

- Humanitarian Technology Conference on Artificial Intelligence and Smart Technologies for Humanity (Asia Pacific Region) at Marwadi University, Rajkot, Gujarat

- IEEE Silchar Subsection Conference (SILCON) at National Institute of Technology, Silchar, Assam

- International Conference on Computing, Communication, and Intelligent Systems at Sharda University, Greater Noida