Virtual Medical Assistant in English and Kannada Languages
Various methods for building virtual medical assistants that may interact with people to answer simple questions about health characteristics and recommend necessary actions to the user are discussed.
Abstract
Health care and medicine are two crucial facets of human existence. This guarantees patients the right to accurate and timely clarification of any questions they may have about their health state. A virtual assistant built with the help of Natural Language Processing [NLP] makes it simpler for consumers to consult the medical personnel in the pandemic situation from the comfort of their homes without any direct contact. This work discusses various methods for building virtual medical assistants that may interact with people to answer simple questions about health characteristics and recommend necessary actions to the user. A unique inclusion in this paper is the support to a regional language which is kannada in this case. In order to identify the ailment, the system extracts essential keywords from the chat and applies predictive analysis. The user is advised to see a doctor, take medication, or visit the hospital, depending on the severity of the symptoms. The Kannada voice-bot has a higher processing time when compared to the English voice-bot due to change in dialects. The real goal of this job is to address the user’s symptoms and offer appropriate medical advice in order to shorten the process’s time and expense requirements.