A Source-Grounded Multimodal Edge-Agent Framework for Inclusive Digital Service Access in Bangladesh

This research proposes a source-grounded multimodal edge-agent framework for improving access to digital services in Bangladesh. Its main contribution is the integration of Bangla/Banglish interaction, multimodal input, local edge inference, domain-specific routing, source-grounded retrieval, and risk-aware response selection within a single architecture. The work also demonstrates the feasibility of local execution through 120 software trials, achieving 92.5% overall success and 95.0% offline-continuity performance, while clearly distinguishing tested components from proposed future extensions.