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Web Chatbot Using GCP (Google Cloud Platform)
Subject area: Science,Engineering and Technology · Area of research: AI and ML
DOI: https://doi.org/10.64388/IREV9I11-1717237
Abstract
This project focuses on creating a web-based chatbot with Google Cloud Platform (GCP) to offer automated and intelligent user interaction. The chatbot uses Dialogflow for natural language processing and Cloud services for backend operations and deployment. It can understand user queries and respond in real time, which reduces manual effort and improves user experience. The system is scalable, efficient, and suitable for applications like customer support and information services. This project shows how to effectively use cloud-based AI technologies to build smart web applications.
References
[1] Official Documentation:
[2] Dialog flow Documentation:
[3] Firebase Documentation: https://firebase.google.com/docs
[4] Google Cloud Functions Guide: https://cloud.google.com/functions/docs
[5] Speech and Language Processing by Daniel Jurafsky and James H. Martin
[6] IEEE Research Papers on Chatbots and NLP
[7] ACM Digital Library for AI and chatbot research
How to cite this paper
@article{1717237,
author = {Niki, Sarvesh Singh, Dr. Ishrat Ali, Prof. (Dr.) Sanjay Pachauri},
title = {Web Chatbot Using GCP (Google Cloud Platform)},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {11},
pages = {204-205},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1717237.pdf},
abstract = {This project focuses on creating a web-based chatbot with Google Cloud Platform (GCP) to offer automated and intelligent user interaction. The chatbot uses Dialogflow for natural language processing and Cloud services for backend operations and deployment. It can understand user queries and respond in real time, which reduces manual effort and improves user experience. The system is scalable, efficient, and suitable for applications like customer support and information services. This project shows how to effectively use cloud-based AI technologies to build smart web applications.},
month = {May},
doi = {https://doi.org/10.64388/IREV9I11-1717237}
}