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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM68250

SMART MEDICINE REMINDER SYSTEM

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM68250

Volume:

10 |

10 |

Oct 2026

Pages:

1-9

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM68250

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.

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Authors

K

K.Dheeraj

Electronics and Communication Engineering

CMR Technical Campus

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M

M.Chankaya

Electronics and Communication Engineering

CMR Technical Campus

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K

K.Shivakeerthi

Electronics and Communication Engineering

CMR Technical Campus

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B

B.Sandeep

Electronics and Communication Engineering

CMR Technical Campus

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Mentors

D

Dr.G.Srikanth

Electronics and Communication Engineering

CMR Technical Campus

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Abstract

Medication non-adherence is a critical challenge in modern healthcare, particularly for patients managing chronic conditions like diabetes and cardiovascular dis-eases. Busy lifestyles, cognitive decline, and complex multi-drug regimens frequently cause patients to miss doses, leading to disease progression and increased hospital readmissions. Traditional reminder methods, such as manual alarms and written schedules, are of-ten unreliable. To address these limitations, this paper presents a Smart Medicine Reminder System, an auto-mated electronic solution designed to improve patient compliance and safety. The system utilizes a microcon-troller architecture integrated with a Real-Time Clock (RTC) module for precise time tracking. Upon reach-ing a preset schedule, the system triggers multi-sensory alerts via audio buzzers and visual LCD displays, while guiding the user to specific medication compartments to eliminate confusion. Furthermore, the system logs compliance data—including exact consumption times and missed doses—providing valuable records for re-mote caregiving and clinical analysis. The results demonstrate that this automated system effectively re-duces human error, decreases caregiver burden, and en-hances health outcomes. It offers a scalable platform adaptable for mobile application integration and future AI-driven sensors.

KEYWORDS

Smart Medicine Reminder Medica-tion Adherence Healthcare Automation Microcon-troller Real-Time Clock Patient Compliance Chronic Disease Management.

Cite This Article

K.Dheeraj, M.Chankaya, K.Shivakeerthi, B.Sandeep, Dr.G.Srikanth, "SMART MEDICINE REMINDER SYSTEM," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-9, Oct 2026. https://doi.org/10.55041/IJSREM68250

Full Article/Conclusion

Medication non-adherence remains a persistent and costly barrier to effective chronic disease management globally. This paper successfully demonstrated the de-sign, implementation, and empirical verification of a standalone, automated Smart Medicine Reminder Sys-tem tailored to address this challenge. By leverag-ing a high-precision DS3231 Real-Time Clock mod-ule integrated with an energy-efficient microcontroller architecture, the system eliminates reliance on active network connections while maintaining a timekeeping drift of less than 0.5 seconds per day. Experimental testing over continuous cycles con-firmed a 100% notification success rate, successfully deploying synchronized visual (LED) and auditory (buzzer) alerts at preset schedules. The inclusion of di-rectional compartment indicators significantly simpli-fied the medication retrieval process, effectively mit-igating human error and cognitive strain for elderly users or individuals managing polypharmacy. Fur-thermore, the non-volatile compliance logging frame-work proved reliable in retaining crucial intake records across power fluctuations. Ultimately, this prototype offers a scalable, robust, and cost-effective intervention that significantly reduces the burden on remote care-givers, enhances patient autonomy, and bridges the gap between passive reminders and intelligent healthcare automation.

References

1.      A. R. Al-Ali, M. A. Rahiman, and S. A. Khan, ”IoT-Based Smart Pillbox System for Medication Adherence Monitoring,” IEEE Transactions on Consumer Electronics, vol. 66, no. 3, pp. 245–253, 2020.  2.      P. Sundaramoorthy, S. Ramasamy, and K. S. Kumar, ”Microcontroller-Based Smart Medicine Dispenser Using Real-Time Clock Module,” In-ternational Journal of Embedded Systems and Applications, vol. 11, no. 2, pp. 89–97, 2021. 3.      S. B. Dhungana and M. T. Islam, ”Design of a Standalone Smart Medication Reminder System with Multi-Sensory Alert Mechanisms,” Journal of Healthcare Engineering and Automation, vol. 5, no. 4, pp. 112–120, 2022. 4.      J. Martinez-Otero, L. F. Gomez, and R. Silva, ”Low-Power Firmware Optimization Patterns for Multi-Compartment E-Health Devices,” IEEE Sensors Journal, vol. 23, no. 14, pp. 15432–15440, 2023.  5.      H. Mehta, K. R. Sharma, and A. Verma, ”Addressing Polypharmacy and Patient Non-Adherence via Smart Electronic Interventions,” International Journal of Medical Informatics, vol. 158, article 104655, 2022. 6.      T. N. Nguyen and M. Ali, ”An Energy-Efficient Smart Pillbox Using Hardware Interrupts and Sleep Mode Program Design,” Computers in Bi-ology and Medicine, vol. 142, pp. 105–114, 2022. 7.      S. Patel and G. R. Murthy, ”A Standing Real-Time Logging System for Patient Medication Compliance Metrics using EEPROM Arrays,” Journal of Ambient Intelligence and Smart Envi-ronments, vol. 15, no. 1, pp. 45–58, 2023. 8.      K. C. Lee and R. H. Chang, ”Comparative Analysis of Localized Smart Dispensers versus Network-Dependent IoT Health Alerts,” IEEE In-ternet of Things Journal, vol. 10, no. 8, pp. 6890–6901, 2024.  9.      R. Anand, V. Krishnan, and M. S. Rao, ”Temperature-Compensated RTC Implementa-tions for High-Precision Timing in Standalone Medical Equipment,” Design and Automation of Electronic Systems, vol. 29, no. 2, pp. 210–219,2024.

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Publication Date

10/24/2026

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Review Rounds: 2

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