Year: 2026
Type: article
Abstract: This paper presents a SHRIVA-AI Smart Human-responsive interface for Virtual assistant designed for intelligent desktop automation and knowledge support. The proposed system combines natural language interaction, contextual memory, document retrieval, and task-oriented automation to help users perform common desktop activities more efficiently. Unlike conventional chatbots that generate isolated responses, the assistant maintains session context, understands user intent across multiple interactions, and adapts its output according to the current task environment. The system is intended to support functions such as question answering, content generation, document summarization, report drafting, and PDF-ready output creation. By integrating large language model reasoning with context management and retrieval mechanisms, the assistant can produce more relevant and coherent responses while reducing manual effort in repetitive workflows. The architecture is especially useful for academic and professional users who frequently work with files, notes, and structured documents. The proposed project demonstrates how AI can move beyond simple conversation toward practical desktop assistance, improving productivity through intelligent, context-driven support. This work also highlights the growing importance of memory, tool use, and contextual understanding in next-generation AI assistant systems.
Institution: Raisoni Group of Institutions
Language: English
Topic: Speech and dialogue systems
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7225441542