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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 6 | Month- June 2026

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  Published Paper Details:

  Paper Title

CHATXPERT: SMART AI CHATBOT USING NLP FOR INTERACTIVE DIALOGUES

  Authors

  Om Mulge,  Prasanna V Chinmalli,  Sabari Govindhan,  Tejas Halemani,  Dr.M.A.Dorairanagaswamy

  Keywords

Artificial Intelligence (AI), Natural Language Processing (NLP), Conversational Agents, Chatbots, Interactive Dialogue Systems, Context-Aware Systems, Intent Recognition, Entity Extraction, Sentiment Analysis, Emotion Detection, Transformer Models (BERT, GPT, etc.), Deep Learning, Machine Learning (ML), Natural Language Understanding (NLU), Natural Language Generation (NLG), Reinforcement Learning, Multimodal Interaction (Voice/Text), Human-Computer Interaction (HCI), Smart Digital Assistants, P

  Abstract


This paper introduces ChatXpert, an AI chatbot system that uses Natural Language Processing (NLP) to enable smooth, human-like conversations on many topics. In today's fast-changing digital world, where AIdriven chat systems are essential for modern infrastructure, ChatXpert stands [1] out by providing communication that is both efficient and intelligent. It bridges the gap between humans and machines. ChatXpert is designed to understand, interpret, and generate natural language. This ability allows it to perform many tasks, such as accurately answering user questions, offering customer service help, providing [2] personalized recommendations, and automating routine tasks. To achieve these interactions, ChatXpert uses a set of NLP techniques. These include intent recognition (identifying the user's goal), named entity recognition (NER) (spotting key information like names, dates, and locations), sentiment analysis (grasping the emotional tone of the conversation), and strong contextual understanding [3] (keeping the conversation coherent). The system combines machine learning models and rule-based logic, creating a hybrid approach that improves its adaptability and performance over time. The flexibility of ChatXpert means it can be applied across many industries. In e-commerce, it can handle customer inquiries and recommend products. In education, it might help students with learning materials or answer administrative questions. For healthcare, it could provide initial symptom assessments or guide patients to useful information. In finance, it could assist with balance inquiries or transaction details. In human resources, it could simplify onboarding or answer HR policy questions. It can [12] also improve experiences in travel (booking help, destination info) and entertainment (content recommendations, event details). This paper shows how using modern AI and NLP can improve user interaction and engagement through advanced automated dialogue systems.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2508848

  Paper ID - 293244

  Page Number(s) - h266-h278

  Pubished in - Volume 13 | Issue 8 | August 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Om Mulge,  Prasanna V Chinmalli,  Sabari Govindhan,  Tejas Halemani,  Dr.M.A.Dorairanagaswamy,   "CHATXPERT: SMART AI CHATBOT USING NLP FOR INTERACTIVE DIALOGUES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 8, pp.h266-h278, August 2025, Available at :http://www.ijcrt.org/papers/IJCRT2508848.pdf

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Call For Paper June 2026
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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