Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM47310
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In this digital transformation world, intelligent conversational chatbots are becoming increasingly useful for improving user engagement and enhancing communication across many sectors. This process involves detailing the design, implementation, and evaluation process of a high-tech chatbot built using the MERN stack (MongoDB, Express.js, React.js, Node.js) along with contemporary natural language processor (NLP) technology. The use of the OpenAI API allows the chatbot to achieve a high level of conversational fluency and context which creates a standard for highly interactive AI applications. We discuss the architecture of the bot, which demonstrated how the use of MongoDB to manage storage, Express.js for backend logic, React.js for user interface, and Node.js for runtimes worked together to create an engaging AI chatbot experience. The study also details a standardized performance evaluation protocol which will establish how accurate the responses provided by the chatbot, how satisfied the user were, and how scalable the system is. … In summary, the research supports using the MERN stack as a basis for building robust applications powered by AI and offer suggestions for the enhancement and deployment of conversational AI for different applications such as customer services businesses and education which create a starting point for developing applications in the future.
KEYWORDS
Publication Date
8/4/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
2
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...