Care Taker Bot: A Smart Assistive Device for Elderly Care

Year : 2025 | Volume : 16 | Issue : 03 | Page : 14 22
    By

    Vinod B. Jagdale,

  • Pradnya L. Gole,

  • Akshada Andhalikar,

  1. Student, Department of Electronic and Telecommunication Engineering, Rajgad Dnyanpeeth’s Shri Chhatrapati Shivajiraje College of Engineering, Pune, Maharashtra, India
  2. Student, Department of Electronic and Telecommunication Engineering, Rajgad Dnyanpeeth’s Shri Chhatrapati Shivajiraje College of Engineering, Pune, Maharashtra, India
  3. Student, Department of Electronic and Telecommunication Engineering, Rajgad Dnyanpeeth’s Shri Chhatrapati Shivajiraje College of Engineering, Pune, Maharashtra, India

Abstract

The growing demand for assistive technologies in healthcare and elderly care has driven the development of intelligent robotic systems. This research work describes the design, hardware integration, and software implementation of a caretaker bot built around the Raspberry Pi 4B module. The system combines essential components such as a speaker, a buzzer, a power bank for portability, a SIM card module for cellular connectivity, and a mobile application for real-time notifications. In addition to the hardware specifications and interconnections, the study details the Raspberry Pi 4B pin diagram, provides an overview of the operating system installation and configuration, includes sample Python code for audio recording and notification functionality, and outlines the system’s overall architecture using block diagrams and flow charts. The final output showcases a fully functional prototype designed to monitor events and deliver timely alerts. This system proves to be an effective solution for remote caregiving and emergency support, offering real-time updates that enhance responsiveness and safety. By integrating sensor-based monitoring and instant notifications, it ensures that critical situations are promptly addressed, thereby reducing response times. Its reliable performance and ease of deployment make it a valuable tool for elderly care, patient supervision, and other vulnerable scenarios. Overall, the prototype highlights the potential for scalable implementation in healthcare and smart home environments requiring remote oversight.

Keywords: Caretaker bot, Raspberry Pi 4B, assistive technology, emotional support, elderly care, voice interaction, IoT, AI companion

[This article belongs to Journal of Electronic Design Technology ]

How to cite this article:
Vinod B. Jagdale, Pradnya L. Gole, Akshada Andhalikar. Care Taker Bot: A Smart Assistive Device for Elderly Care. Journal of Electronic Design Technology. 2025; 16(03):14-22.
How to cite this URL:
Vinod B. Jagdale, Pradnya L. Gole, Akshada Andhalikar. Care Taker Bot: A Smart Assistive Device for Elderly Care. Journal of Electronic Design Technology. 2025; 16(03):14-22. Available from: https://journals.stmjournals.com/joedt/article=2025/view=227590


References

  1.  Kiran A, Balaram A, Parshapu P, Naik SL, Purushotham P, Silparaj M. AI-Enhanced Elderly Care Companion. In 2024 IEEE International Conference on Science Technology Engineering and Management (ICSTEM). 2024 Apr 26; 1–5.
  2. Thrun S. Toward a framework for human–robot interaction. Hum Comput Interact. 2004;19(1– 2):9–24. doi:10.1080/07370024.2004.9667338.
  3. Nira, Kumar H. Epidemiological Mucormycosis treatment and diagnosis challenges using the adaptive properties of computer vision techniques based approach: a review. Multimed Tools Appl. 2022 Apr; 81(10): 14217–45.
  4. Sengeeth K, Santhosh Kumar R, Siva Kumar R, Kumersan T, Venkatesh C. Patient monitoring system using GSM technology. Int J Innov Res Electr Electron Instrum Control Eng. 2016 Mar;4(3):244–6. doi:10.17148/IJIREEICE.2016.4364.
  5. Randall N, amino W, Joshi S, Chen WC, su J, Tsui , Šabanović S. nderstanding the connection among Ikigai, well-being, and home robot acceptance in Japanese older adults: Mixed methods study. JMIR Aging. 2023;6:e45442. doi:10.2196/45442. PubMed PMID: 37792460.
  6. Vacher M, Portet F, Rossato S, Aman F, Golanski C, Dugheanu R. Speech-based interaction in an AAL context. In ISG* ISARC2012. 2012 Jun 26; 1–7.
  7. Vashistha P, Singh JP, Jain P, Kumar J. Raspberry Pi based voice-operated personal assistant (Neobot). In 2019 IEEE 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA). 2019 Jun 12; 974–978.
  8. John RA, Varghese S, Shaji ST, Sagayam KM. Assistive device for physically challenged persons using voice controlled intelligent robotic arm. In 2020 IEEE 6th International Conference on Advanced Computing and Communication Systems (ICACCS). 2020 Mar 6; 806–810.
  9. Kumar AK, Sankar R, Charulatha RT, Kumari PS, Krishnamoorthy NV. Intelligent Fabrication of IoT Assisted Smart Voice based Wheelchair Controlling System for Physically Challenged People. In 2024 IEEE International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI). 2024 May 9; 1–7.
  10. Sala-González M, Pérez-Jover V, Guilabert M, Mira JJ. Mobile apps for helping informal caregivers: a systematic review. Int J Environ Res Public Health. 2021 Jan; 18(4): 1702.
Regular Issue Subscription Original Research
Volume 16
Issue 03
Received 28/05/2025
Accepted 24/06/2025
Published 12/08/2025
Publication Time 76 Days
Total Visits: 12


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