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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM32127
Volume:
8 |
5 |
May 2024
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.
This research paper investigates the integration of artificial intelligence (AI) into web development for online pharmacy stores using the Flask framework with Python programming language. Authors Yogesh Raikwar and Gaurav Rajak explore the potential benefits and challenges associated with incorporating AI technologies in the context of pharmacy e-commerce platforms. The study aims to develop a prototype system capable of providing intelligent recommendations, medication reminders, and virtual consultations to enhance user experience and streamline operations in online pharmacy services.
KEYWORDS
Publication Date
12/31/45415
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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No funding information available for this research.
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