Research Papers

Here, I document my journey exploring how machine learning can create meaningful impact, from decoding brain signals to improving health outcomes.

A Deep Learning Approach to EEG-to-Text Decoding

Presenting a deep learning framework for open-vocabulary EEG-to-text decoding, integrating subject-specific EEG features with NLP. Outperforming baselines on ZuCo (BLEU/ROUGE/BERTScore), it enables personalized brain-to-text generation for assistive communication.

Diabetes Tracker

Diabetes tracker project focuses on the development and implementation of machine learning models for predicting diabetic blood glucose levels. By creating a reliable prediction model, individuals are strived to empower with diabetes to take proactive control of their health.