Initialising Vault
Initialising Vault
Co-authored and presented peer-reviewed research at the Young Researchers Conference on Artificial Intelligence & Big Data, hosted by ADA University. The study introduces an 'Adaptive Loss Function' to mitigate interclass similarities in Sign Language Recognition. By dynamically penalizing confusing sign pairs, the model achieved a 23.5% reduction in Word Error Rate (WER) and increased accuracy for similar signs by 18%. This teacher-student collaboration, supported by UFAZ and sponsored by Neurotime, focuses on advancing digital accessibility in Azerbaijan through deep learning and multi-modal computer vision.
Awarded 1st place at the III Student Republic Scientific-Practical Conference dedicated to the 100th anniversary of National Leader Heydar Aliyev. Conducted extensive research on 'Modular Arithmetic and Remainder Division,' advocating for its earlier introduction in the national secondary education curriculum. Argued that modular arithmetic, currently primarily taught at the university level in Azerbaijan, is essential for developing logical reasoning from lower grades. The research was supported by the R.H.F.G. named after S.C. Pishavari and several academic institutes.