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International Journal of Advanced Engineering Application

ISSN: 3048-6807

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Smart Medicine Information Extraction and Management System

Author(s):Dr.M.Aruna Safali1,Nukala Uma Devi2,Ummadisetti Lavanya3,Mohammad Zulekha Parveen4,Choragudi Anjana5

Affiliation: Computer Science Department, Dhanekula Institute of Engineering and Technology, A.P., India

Page No: 57-60

Volume issue & Publishing Year: Volume 2 Issue 4,April-2025

Journal: International Journal of Advanced Engineering Application (IJAEA)

ISSN NO: 3048-6807

DOI: https://doi.org/10.5281/zenodo.17659621

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Article Indexing:

Abstract:
to access medicine details through QR code scanning, AI text extraction and audio output. All users have to do is to scan a QR code to retrieve the medicine name, manufacturer, expiry date and main ingredients. While content on the website has been dynamically fetched using Selenium, the BeautifulSoup had been used to extract the relevant text. Different kinds of NLP are applied on this data using the Gemini API by Google and are simply reorganized in an easy-to-read format along with a brief and a user-friendly summary for a better understanding. Other types include the voice output of the medicines' information for the ease of the visually impaired people. All data is securely saved on Firebase to make it easy for accessibility and reference for the future. With a responsive interface, features such as QR code scanning, picture uploading, camera integration and audio output functions seamlessly. The utilization of AI combined with cloud storage together with an easy-to-use design enhances access to information on medicines through this system and thus helps patients, pharmacists, and health care providers make informed decisions and improve the transparency of healthcare.

Keywords: AI-Powered Text Extraction, Firebase Cloud Storage, Healthcare Technology, Medicine Information Management, Natural Language Processing (NLP), QR Code Scanning.

Reference:

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