Jannatun Noor

A Bangla-language retrieval-augmented conversational agent for maternal health in a low-resource setting: design and formative evaluation

Abstract Maternal health information in Bangladesh is difficult to access for women with limited literacy and no English, and perinatal mental health remains under-supported. We designed and formatively evaluated Baby and Me, a Bangla-language conversational agent that retrieves...

Health information in Bangladesh: sources, trust, and perceived effectiveness of digital communication technologies

Abstract This study responds to the urgent need to understand the role that digital communication technologies play in shaping health information consumption in Bangladesh, a country that is grappling with persistent health crises, where common diseases often escalate to epidemic...

Leveraging machine learning in balancing inventories and analyzing market trends: a comprehensive systematic review

Rapid market changes, shorter product life cycles, and supply-chain disruptions have increased the complexity of inventory management and demand forecasting. This review examines how machine learning techniques and trend analysis improve forecasting accuracy, reduce uncertainty,...

An interpretable machine learning framework for predicting next day firm level market stress in the Dhaka Stock Exchange

Frequent market instability and the lack of rigorously validated forecasting frameworks pose significant challenges for predicting market stress in the Dhaka Stock Exchange (DSE). This study proposes a leakage-safe machine learning framework for next-day market stress prediction...