Design of a personalized smart remainder system utilizing IOT –Enabled device and machine learning for efficient routine management.
DOI:
https://doi.org/10.68104/ijasit.v1.i1.1Keywords:
Machine Learning, Object Detection, You Only Look Once (YOLO), IoT, Smart Remainder, Real-Time Analytics and Alerts, Privacy PreservationAbstract
The increasing demand for intelligent healthcare and routine management systems has encouraged the development of smart automation technologies. This paper presents a Personalized Smart Reminder System that combines Internet of Things (IoT) devices and Machine Learning techniques to improve adherence to scheduled activities such as medication intake and daily task management. The system uses pressure sensors, microcontrollers, camera modules, buzzers, and wireless communication modules to monitor user activity and detect task completion. If the system identifies non-compliance or unattended items, real-time alerts are generated through buzzers and mobile notifications. A lightweight machine learning model studies user behaviour patterns and adjusts reminder timing dynamically to reduce unnecessary alerts and improve user response efficiency. The proposed system is low-cost, scalable, and suitable for homes, hospitals, elderly care canters, offices, and classrooms. Experimental analysis shows improved reminder accuracy, reduced false alerts, and faster response time compared with conventional reminder systems
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H. Shao, X. Zhou, J. Lin, and B. Liu, “Few-shot cross domain fault diagnosis of bearing driven by task-supervised ANIL,” IEEE Internet of Things Journal, vol. 11, no. 2, pp. 1345–1357, Feb. 2024.
A. Rauniyar, D. H. Hagos, D. Jha, J. E. Håkegård, et al., “Federated learning for medical applications: A taxonomy, current trends, challenges, and future research directions,” IEEE Internet of Things Journal, vol. 11, no. 4, pp. 2890–2908, Apr. 2024.
Y. Liu, Z. Wang, H. Zhang, and Y. Chen, “YOLOv7: Enhanced real-time object detection with transformer-based modules,” in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 1123–1132.
M. Singh, R. Kumar, and A. Sharma, “Edge-assisted deep learning for smart surveillance in IoT environments,” IEEE Transactions on Industrial Informatics, vol. 19, no. 1, pp. 456–467, Jan. 2023.
S. Gupta, N. Patel, and R. Jain, “Towards sustainable IoT: Energy-efficient protocols and architectures,” IEEE Access, vol. 11, pp. 98765–98780, 2023.
F. Zhang, L. Li, and M. Chen, “A comprehensive survey on Internet of Things: Architecture, protocols, and applications,” IEEE Access, vol. 12, pp. 12345–12378, 2024.
T. Huang, J. Zhao, and K. Xu, “Security and privacy in cyber-physical-social systems: A layered IoT architecture,” IEEE Internet of Things Journal, vol. 11, no. 3, pp. 2101–2115, Mar. 2024.
2024 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS), “Proceedings of the 2024 IEEE International Conference on Internet of Things and Intelligence Systems,” IEEE Xplore, 2024.
A. Kumar and R. Sharma, “Smart Reminder Systems Using IoT Sensors for Healthcare Applications,” International Journal of Smart Computing, vol. 8, no. 2, pp. 101–110, 2023.
J. Lee and M. Park, “Machine Learning Based Personalized Reminder Platform for Elderly Care,” IEEE Sensors Journal, vol. 23, no. 6, pp. 5421–5430, 2024.
P. Verma, S. Nair, and K. Gupta, “Real-Time Activity Monitoring Using Raspberry Pi and IoT Devices,” IEEE Access, vol. 10, pp. 88452–88463, 2022.
R. Thomas and D. Wilson, “Low-Cost Smart Notification Systems Using Wireless Embedded Modules,” Journal of Embedded Systems, vol. 15, no. 4, pp. 211–220, 2023.
L. Chen and Y. Wang, “Adaptive Alert Scheduling Using Predictive Analytics and User Behavior,” Expert Systems with Applications, vol. 210, pp. 118390, 2023.
S. Iyer and N. Prakash, “Computer Vision Based Forgotten Object Detection for Smart Offices,” International Conference on Artificial Intelligence and IoT, pp. 77–84, 2024.
M. Ahmed, T. Khan, and P. Roy, “Cloud Integrated IoT Reminder Architecture for Smart Living Environments,” Future Internet,vol.16,no.1,pp.55–67,2024.
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Copyright (c) 2026 Ajith T, Abishek G, Aaron Winston A, Hemlathadhevi A (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
