DES Pune University

A multimodal cross-modal explainable retrieval-augmented generation framework for hallucination-grounded visual question answering

Recent multimodal large language models (MLLMs) have achieved remarkable performance on visual question answering (VQA) and multimodal reasoning tasks. But one overlooked failure case stubbornly persists: when answers require simultaneous synthesis of evidence from natural images...

Smart water purification for domestic environments: AI-driven dual filtration with multilingual voice-assisted interaction

Abstract Household water safety depends not only on contaminant removal efficiency but also on consistent user adherence and timely maintenance. However, usability barriers and lack of accessible guidance limit the real-world effectiveness of point-of-use purification systems, pa...