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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM53796
Volume:
9 |
11 |
Nov 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.
This project introduces a desktop-based drug allergy alert system using Tkinter and Convolutional Neural Networks (CNNs)to enhance patient safety and clinical decision-making. The application enables user registration, patient data entry, image preprocessing, and CNN-based allergy prediction. Based on the results, it recommends suitable medications and automatically saves reports for future reference. The system aims to improve accuracy, usability, and automation in drug allergy detection, addressing the limitations of existing systems and reducing manual errors in healthcare settings.
KEYWORDS
Publication Date
11/10/2025
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.
Funding Information
No funding information available for this research.
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