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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
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ISO Certification: 9001:2015
Publication Fee: 599/- INR
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 05

Published on: May 2026

INTELLICHAT: AN AI POWERED CONVERSATION SYSTEM

Tisha Baghel Siddharth Gupta Bhavna Soni Ayush Mandloi

Vivek Gupta

Dept. of Information technology & Engineering, Indore Institute of Science & Technology, Indore, M.P., India

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

Artificial Intelligence has transformed modern communication systems by enabling intelligent and automated conversations. IntelliChat is an AI Powered Conversation System designed to provide real-time human-like interaction using Artificial Intelligence and Natural Language Processing (NLP). The system enables users to communicate with an intelligent chatbot capable of understanding user intent, processing natural language queries, and generating meaningful responses instantly. The platform integrates frontend communication modules, backend processing systems, AI-based response generation, and database management into a unified conversational environment. IntelliChat improves communication efficiency, reduces manual workload, and enhances user interaction through automated intelligent conversations. The system is developed using Python, Flask/Django, HTML, CSS, JavaScript, and NLP libraries such as NLTK and spaCy. IntelliChat supports continuous conversations, context-aware responses, session management, and chat history storage. The proposed system can be effectively applied in educational platforms, customer support services, virtual assistants, and smart communication systems.

Keywords: Artificial Intelligence (AI), Natural Language Processing (NLP), Chatbot, Conversational AI, Real-Time Communication, Intelligent Response System, Machine Learning, AI Assistant, Web-Based Chat System, Human-Computer Interaction (HCI)

How to Cite this Paper

Baghel, T., Gupta, S., Soni, B. & Mandloi, A. (2026). IntelliChat: An AI Powered Conversation System. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.638

Baghel, Tisha, et al.. "IntelliChat: An AI Powered Conversation System." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.638.

Baghel, Tisha,Siddharth Gupta,Bhavna Soni, and Ayush Mandloi. "IntelliChat: An AI Powered Conversation System." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.638.

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References

[1] OpenAI. (2025). OpenAI API Documentation for AI-Based Conversational Systems.
OpenAI Platform Documentation

[2] Jurafsky, D., & Martin, J. H. (2021). Speech and Language Processing (3rd ed.). Pearson Education.

[3] Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson Education.

[4] React.js Official Documentation. (2025). Frontend Development for Interactive User Interfaces.
React Documentation

[5] Laravel. (2025). Laravel Framework Documentation for Backend Processing.
Laravel Documentation

[6] Google Cloud. (2025). Speech-to-Text API for Voice Recognition Systems.
Google Speech-to-Text API

[7] Firebase. (2025). Firebase Real-Time Database Documentation.
Firebase Documentation

[8] Node.js Foundation. (2025). Node.js Documentation for Real-Time Communication Systems.
Node.js Documentation

[9] Devlin, J., Chang, M. W., Lee, K., & Toutanova, K. (2019). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. NAACL-HLT Proceedings.

[10] Mozilla Developer Network (MDN). (2025). Web Speech API Documentation for Voice-Based Applications.
MDN Web Speech API

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: May 20 2026
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This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

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