Dynamic NLP Enabled Chatbot for Rural Health Care in India
S. Ashwini, N. R. Rajalakshmi, Victer Paul. P, L. Jayakumar
Abstract
Medical practitioners can use telemedicine to connect with their patients during the recent Coronavirus outbreak, while also attempting to prevent COVID-19 transmission among patients and clinicians. In the middle of the pandemic, Telemedicine can help patients by allowing them to obtain supportive care without having to visit a hospital via a conversational AI-based application. As a result, telehealth will transform in-person care into remote patient connection fast and drastically. In this paper, Natural Language Processing (NLP)-based Multilingual Conversational Bot has been developed to provide chronic patients with free fundamental healthcare education, information, and guidance. Countries like India, rural healthcare management is challenging task with available medical experts and equipment’s. So proposed Tele-health care management leads towards healthy rural people and their development. Existing Application Programming Interface (API) like Dialogflow can be used along with our healthcare mobile application to provide live treatment and diagnosis.