• Neelam
• Dr. Gunjan Singh

The integration of NLP into HCI has greatly changed the way humans interact with machines. NLP-powered chatbots have become a pivotal technology in enhancing user experience, usability, and accessibility across various domains. “Human-Computer Interaction (HCI) is a multidisciplinary field that focuses on the study, design, and evaluation of interactive systems between humans and computers”. This is playing an important role in improving user experience and productivity across various domains, from consumer electronics to enterprise applications. It explores the current state of AI-powered chatbot technology, focusing on the latest advancements and leading innovations. The study covers NLP algorithms, machine learning models, and deep learning techniques that are used in the development of chatbots to better understand their strengths and weaknesses. It also discusses some of the latest breakthroughs in AI-powered chatbot technology, including virtual assistants and voice-enabled chat-bots.

Natural Language Processing, Human Computer Interaction, Naïve Bayes, SVM, Recurrent Neural Network, Clustering, Deep Neural Network, Convolutional Neural Network

"Enhancing Human-Computer Interaction: A Deep Dive into NLP-Powered Chatbots", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.f522-f531, December-2024, Available :http://www.jetir.org/papers/JETIR2412561.pdf

"Enhancing Human-Computer Interaction: A Deep Dive into NLP-Powered Chatbots", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. ppf522-f531, December-2024, Available at : http://www.jetir.org/papers/JETIR2412561.pdf