Sahil Thakur

Papers

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About

Sahil Thakur is a researcher in natural language processing and conversational AI, with a focus on automating domain-specific tasks through intelligent chatbot systems. His most cited work, "NLP Based Chatbot for Multiple Restaurants" (2021, 12 citations), addresses the challenge of building scalable, rule-minimized conversational agents for real-world applications like restaurant discovery and reservation booking. Thakur’s contributions lie in simplifying the implementation of task-oriented chatbots by reducing reliance on extensive domain knowledge and handcrafted rules, making automation more accessible. This work demonstrates his ability to bridge NLP techniques with practical, user-facing solutions. Beyond this flagship paper, Thakur’s research continues to explore how conversational interfaces can streamline everyday interactions, with potential impacts on hospitality, customer service, and beyond. His work is a valuable resource for students and developers interested in applied NLP, offering a clear example of how to design chatbots that are both efficient and effective in constrained environments.