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@article{155637,
        author = {Subrata Dutta  and Uddipan Chowdhury and Sayan Mondal and Antara Ghosal and Anurima Majumdar and Palasri Dhar and Sayan Roy Chaudhuri},
        title = {DETECTION OF LIVE COVID-19 AFFECTTED PEOPLE NUMBER USING ARDUINO},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {1},
        pages = {1421-1423},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155637},
        abstract = {Nowadays, covid-19 has emerged as pandemic in whole worldwide. Internet of things (IoT) also can help this world rom this pandemic situation. We made detection of affected people number using arduino nano. We can see how many people are affected by covid-19 and we can share the data with people.  So, people can be aware and safe from covid-19. Using ESP32 WIFI module and logic converter we can know how many people are affected. Then, there havea display which shows number of affected people. Using IoT, we also can save the world from pandemic situation.},
        keywords = {Arduino nano, ESP32 Wi-Fi module, IoT.},
        month = {},
        }