Rishma Garg

Papers

Total Citations

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About

Rishma Garg is a researcher at the forefront of applied Natural Language Processing, with a particular focus on developing conversational AI systems for the service industry. Her most cited work, "NLP Based Chatbot for Multiple Restaurants" (2021), has garnered 12 citations and addresses the significant challenge of automating complex, domain-specific tasks like restaurant discovery and reservation booking. Garg’s key contribution lies in demonstrating how to move beyond rigid, handcrafted rules to build scalable, intelligent chatbots that can handle real-world user interactions. By tackling the inherent difficulties of domain knowledge integration and conversational flow, her research provides a practical blueprint for deploying automated systems that streamline customer service. This work not only highlights her expertise in dialogue systems and intent recognition but also underscores the tangible impact of NLP in transforming everyday business operations. For students and researchers exploring the intersection of AI and user experience, Garg’s research offers a compelling case study in bridging theoretical NLP techniques with robust, real-world applications.