DIAsm: A Bilingual AI-Assisted Mobile Health Application for Type 2 Diabetes Self-Management in Bangladesh

This research presents DIAsm, a deployed bilingual English–Bangla Android application that integrates multiple Type 2 diabetes self-management functions within a single platform designed for the Bangladeshi context. Its main contribution is the combination of health monitoring, reminders, lifestyle and nutritional support, diabetes education, risk assessment, wellness utilities, locally relevant food information, and a grounded conversational assistant. The assistant employs a hybrid RAG pipeline incorporating rule-based intent classification, multilingual semantic retrieval, metadata filtering, heuristic reranking, and constrained local LLM-based response rewriting. Evaluation included a 50-query technical benchmark and a post-deployment study with 65 users, demonstrating the feasibility and positive perceived usability of this integrated approach.