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@article{146594,
        author = {Kumar Abhishek Gaurav and Ladly Patel and Savita Vijay},
        title = {Monitoring Carbon dioxide Level For Allergic Person Using IoT},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {1},
        pages = {424-427},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=146594},
        abstract = {Almost every metro cities in India are facing problems such as water, pollution, population etc. for which no proper managements are being done. In this paper one problem among above is discussed is air pollution.. Air pollution severely affects human health leading to several respiratory diseases like asthma, lung cancer, pneumonia etc. . The concerned is to develop an automatic system to monitor air quality and alert the concerned authority as well as residents those who are using the system if pollution level increases more than a threshold value. Air quality sensors, such as MQ 135, MQ 2 can accurately detect level of CO2 in air. The data collected by sensor is sent to information processing centre through wireless medium using an emerging technology Internet of Things (IoT). This system is deployed at Dayananda Sagar University (DSU) campus, IBM lab. Data was collected from lab at ideal condition, Kudllu Gate traffic signal, and BTM. The experimental results were compared with air quality index (AQI) Bengaluru the observation resulted that BTM was most populated},
        keywords = {MQ-135 sensor, Command Line Interface (CLI), Internet of Things, Telegram Bot, Raspberry Pi (RPI)},
        month = {},
        }