AI-Assisted Tele-Medicine Kiosk for Rural Health Care Transformation

Bhavana B*, Deepika M. S.**, Keerthana R.***, Nishmitha S.****
*-**** Department of Electronics and Communication Engineering, PES Institute of Technology and Management, Shivamogga, Karnataka, India.
Periodicity:July - December'2025

Abstract

Healthcare accessibility in rural India is often hindered by limited infrastructure, lack of timely diagnosis, and unavailability of essential medicines, leading to preventable health risks. To address this, we propose an AI-assisted kiosk that integrates symptom analysis with automated medicine dispensing. Users input basic symptoms, which are processed by an AI model trained to detect common illnesses. Based on the analysis, the kiosk recommends and securely dispenses suitable medicines, ensuring timely treatment without relying on immediate medical staff. Designed to be cost-effective, portable, and user-friendly, the system provides round-the-clock access to essential care. This work demonstrates a scalable solution to bridge healthcare gaps and improve medical support for underserved rural communities.

Keywords

AI-Assisted Telemedicine, Rural Healthcare Delivery, Smart Healthcare Kiosk, Automated Medicine Dispensing, Healthcare Accessibility, Digital Health Systems.

How to Cite this Article?

Bhavana, B., Deepika, M. S., Keerthana, R., and Nishmitha, S. (2025). AI-Assisted Tele-Medicine Kiosk for Rural Health Care Transformation. Dale View's Journal of Health Sciences and Medical Research, 2(2), 16-22.

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