Reading Assistant for Dyslexia: ML Approach to Text Simplification (Research/Project)
Conducted supervised ML–based NLP model work for text simplification, focused on dyslexic-friendly rewriting and quality assessment. Trained and evaluated feature-engineered models to transform complex input text into clearer output text. Prepared research materials based on the model results for academic presentation at an IEEE venue. • Applied supervised machine learning techniques for the text simplification task. • Performed feature engineering and model evaluation to assess simplification quality. • Worked on NLP pipelines for generating dyslexia-friendly simplified text. • Presented research outcomes at IEEE ICCCMLA 2025.