NORA: A Multimodal Edge-AI Framework for Offline Context-Aware Intelligent Assistance

The main research contribution is the development of NORA, a local-first multimodal edge-AI assistant that combines speech, visual information, contextual reasoning, local LLM inference, and risk-aware decision making within a single framework. The work also introduces a reliability-weighted multimodal risk-fusion model and evaluates the software prototype for task success, latency, resource usage, and offline operation, showing the practical feasibility of intelligent assistance without continuous cloud dependence.