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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM59997
Volume:
10 |
4 |
April 2026
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.
The integration of artificial intelligence (AI) APIs into full-stack web applications has revolutionized software development, enabling intelligent features such as natural language processing, image recognition, and predictive analytics. This paper explores the design and implementation of such applications using the MERN stack i.e MongoDB, Express.js, React, and Node.js, combined with AI services including OpenAIâs GPT models and Googleâs Vision API. By leveraging these technologies, developers can create scalable, responsive applications that enhance user experiences through AI-driven functionalities. We present a case study of an intelligent chat application, detailing the architecture, implementation challenges, and performance evaluation. Results demonstrate improved efficiency and user engagement, highlighting the potential for broader adoption across domains such as e-commerce, healthcare, and education.
KEYWORDS
Publication Date
4/13/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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