Kshitij Chouhan , Mukul Porwal , Rahul Gupta , Rahul Mehta , Loveleen Kumar
International Journal of Electrical, Electronics and Computers (IJECC), Vol-6,Issue-3, May - June 2021, Pages 38-42, 10.22161/eec.63.5
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Article Info: Received: 02 Jun 2021; Accepted: 18 Jun 2021; Date of Publication: 23 Jun 2021
In the current world scenario, individuals square measure additional involved regarding their health. However, it's terribly troublesome to get consultation with the doctor just in case of any health problems. Since the invention of the Coronavirus (nCOV-19), it's become a world pandemic. At an equivalent time, it's been a good challenge to hospitals or health care employees to manage the flow of the high variety of cases. particularly in remote areas, it's becoming tougher to consult a doctor once the immediate hit of the epidemic has occurred. So, to steer an honest life, care is incredibly vital. The planned plan is to form a medical chatbot victimization Machine Learning algorithm which will diagnose the illness and supply basic details regarding the illness before consulting a doctor. Several studies will solve this downside with some reasonably chatbot or health assistant. This project report proposes a colloquial care larva that's designed to order, counsel and provides data on generic medicines for diseases to the patients. During this paper, we would like to explore and deepen additional information regarding chatbots that would facilitate individuals to urge an equivalent and correct treatment as a doctor would do. In addition, presenting a virtual assistant may live with the infection severity and connect with registered doctors once symptoms become serious.