Medicine Identification, Reminder and Consultation Android Application for Visually Impaired People

Adherence to prescribed medication schedules and accurate identification of medicines are crucial for effective healthcare management.This paper introduces an Android-based application, Medicine Consultation Reminder and Identification, aimed at simplifying medication management for users.The application provides two primary features: a medicine identification system using Tesseract Optical Character Recognition (OCR) technology to scan and recognize medicine labels and a personalized reminder system to alert users about their medication schedules.Developed after multiple consultations with healthcare professional, the application addresses challenges such as missed doses and incorrect medicine usage.The Tesseract OCR-based medicine identification feature ensures users can verify medicine details quickly, reducing potential errors.Meanwhile, the reminder system is customizable, allowing users to schedule alerts based on their prescriptions.Additionally, the app is designed to be fully voice-command compatible, enabling hands-free operation, making it more accessible for users with mobility impairments or those who prefer voice interaction.It is also customized to assist visually impaired individuals by reading aloud medication details and reminders, ensuring they can manage their health independently.The app's user-friendly interface and voice control features make it accessible for individuals across different age groups.Its development focuses on integrating advanced scanning technology while ensuring data privacy and usability.By bridging the gap between technology and healthcare, this project strives to improve medication adherence and support patients in managing their health.The proposed solution has the potential to enhance healthcare outcomes and reduce risks associated with medication non-compliance or errors, making it a valuable contribution to the digital health domain.

Publication Details

Journal
IJARCCE
Published
2025-04-23
DOI
https://doi.org/10.17148/ijarcce.2025.14436
Primary Topic
Artificial Intelligence in Healthcare
Type
article
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article

Medicine Identification, Reminder and Consultation Android Application for Visually Impaired People

IJARCCE
Artificial Intelligence in Healthcare
article

Medicine Identification, Reminder and Consultation Android Application for Visually Impaired People

article en

Abstract

Adherence to prescribed medication schedules and accurate identification of medicines are crucial for effective healthcare management.This paper introduces an Android-based application, Medicine Consultation Reminder and Identification, aimed at simplifying medication management for users.The application provides two primary features: a medicine identification system using Tesseract Optical Character Recognition (OCR) technology to scan and recognize medicine labels and a personalized reminder system to alert users about their medication schedules.Developed after multiple consultations with healthcare professional, the application addresses challenges such as missed doses and incorrect medicine usage.The Tesseract OCR-based medicine identification feature ensures users can verify medicine details quickly, reducing potential errors.Meanwhile, the reminder system is customizable, allowing users to schedule alerts based on their prescriptions.Additionally, the app is designed to be fully voice-command compatible, enabling hands-free operation, making it more accessible for users with mobility impairments or those who prefer voice interaction.It is also customized to assist visually impaired individuals by reading aloud medication details and reminders, ensuring they can manage their health independently.The app's user-friendly interface and voice control features make it accessible for individuals across different age groups.Its development focuses on integrating advanced scanning technology while ensuring data privacy and usability.By bridging the gap between technology and healthcare, this project strives to improve medication adherence and support patients in managing their health.The proposed solution has the potential to enhance healthcare outcomes and reduce risks associated with medication non-compliance or errors, making it a valuable contribution to the digital health domain.

IJARCCEVol. 14(4)
Gender equality
Openalex Percentile: Top 90%
Artificial Intelligence in Healthcare
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