RSOmi05/Fine-Tuning-BERT-Model-for-Email-Subject-Line-Generation

AI Summary: The task involves developing a clinical information extraction module for Bangla Electronic Health Records (EHRs). This includes data collection, preprocessing, named entity recognition (NER) model development using a Bangla BERT model, annotation, and rigorous evaluation using metrics like precision, recall, and F1 score. The project aims for high accuracy (85% F1 score), speed (<100ms per document), and reliability (95% uptime). Addressing challenges like Bangla morphological complexity and spelling variations is crucial.