How to Cite: Ghadge, S., Patankar, A., & Doke, P. (2022). Medbot: Artificial intelligence based interactive chatbot for assisting with telephonic health checkup service post COVID- 19. International Journal of Health Sciences, 6(S6), 3523–3534. https://doi.org/10.53730/ijhs.v6nS6.10187 International Journal of Health Sciences ISSN 2550-6978 E-ISSN 2550-696X © 2022. Manuscript submitted: 9 March 2022, Manuscript revised: 27 May 2022, Accepted for publication: 18 June 2022 3523 Medbot: Artificial intelligence based interactive chatbot for assisting with telephonic health checkup service post COVID-19 Sourabh Ghadge Savitribai Phule Pune University, Pune, India *Corresponding author email: sourabh.ghadge@gmail.com Dr. Abhijit Patankar Savitribai Phule Pune University, Pune, India Email: ajpatankar@dypcoeakurdi.ac.in Prof. Priyadarshani Doke Savitribai Phule Pune University, Pune, India Email: priyadoke1@gmail.com Abstract---Although the majority of persons who get COVID-19 recover completely, current evidence suggests that 10% to 20% of those who recover experience a variety of mid- and long-term symptoms after their initial sickness. In the system Medbot: Artificial Intelligence based Interactive Chatbot for assisting with Telephonic Health Checkup Service after COVID-19, we use the NLP technique. Patients who use this system after finishing the Covid-19 must log in whenever they have symptoms. Patients use this system to get therapy at home, and if their symptoms are too severe, the system will refer them to a doctor. Patients can book appointments with doctors following Covid-19 if the chatbot gives a list of doctors. In this system, we use the FL approach to get accurate results. We guarantee 98.47 % while utilizing our technology. Keywords---chatbot, NLP (natural language processing), fuzzy logic, COVID-19, health. Introduction Telehealth has the ability to reduce disease transmission, direct people to the appropriate level of care, assure the safety of providing health services online, protect patients, doctors, and the community from infection, and ease the load on healthcare providers and the health system. After COVID-19, an AI-based