Echo Query Hub: A Versatile Artificial Intelligence Conversational Framework Bridging Healthcare and Multi-Domain Applications
Year: 2025
Type: article
Abstract: In today’s fast-changing world of digital communication, artificial intelligence (AI)-powered chat systems stand as pivotal conduits bridging the gap between users and machines. However, traditional chat systems often fall short of delivering personalized and intuitive interactions, limiting their potential to truly enhance user experiences. In response to these limitations, our research presents the Echo Query Hub - an innovative AI chat platform designed to transcend conventional boundaries and redefine digital engagement. At the core of Echo Query Hub lies a commitment to empowerment and personalization, offering users unprecedented agency over their digital interactions. Through field-specific customization, users can curate their digital experience to align with their individual interests and preferences, ensuring that every interaction is relevant and enriching. Leveraging advanced features such as image uploads and voice input capabilities, Echo Query Hub elevates the depth and richness of user interactions, making the experience more immersive and inclusive. This article outlines a broad perspective on the Echo Query Hub Framework, including its objectives, methodology, key features, and implications for the future of AI-driven communication. By prioritizing user experience and innovation, we aim to pave the way for a new era of personalized, accessible, and transformative digital engagement.
Authors: Krishna Kaushik, Pankaj Pankaj, Tisha Bansal, Tanmai Kulshreshtha
Institution: Dayalbagh Educational Institute
Language: English
Topic: AI in Service Interactions
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid:
OpenAlex ID: W4414925182