A Vaccine Slot Tracker Model Using Fuzzy Logic for Providing Quality of Service

Mohammad Faiz, Nausheen Fatima, Ramandeep Kaur Sandhu · 2023

In recent years, we have seen the outbreak of COVID, and vaccination has proved to be quite effective in this case. Vaccination of a large population in a country like India is a big hurdle. People wait for hours to get the slot for vaccination. However, most humans still need help getting the vaccination slot because the information about the place of vaccination and opening time is unavailable. We have proposed a vaccination tracker model for this problem, which provides instant communication to the users about the vaccination opening and location, which makes registering the vaccination very easy. The proposed model is based on object-oriented, database, and networking techniques that use fuzzy logic to get the availability of vaccination slots using three input parameters: age, availability of vaccine slot, and vaccination status. The proposed model is a web-based application that clients can access with a server. The registered users are given priority based on their possibilities, which are calculated using the fuzzy technique. According to the preference, which can be very low, low, medium, high, or very high, the user is informed how many slots are available and booked based on the information they gave when they signed up. After successfully vaccinating the first dose, the countdown is started for the following amount. The simulation results show the effectiveness of the proposed model.

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