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@article{170326,
        author = {Dewanshu Gakhare and Yash Deshmukh and Subodh Deogade and Mahesh Jadhao and Sheela Chinchmalatpure},
        title = {IOT based Home Automation System using Real Time Weather},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {196-199},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170326},
        abstract = {Everyone benefits from the rising use of automation in every industry in the modern world, which lowers costs, improves safety, shortens lead times, and boosts production, profitability, and efficiency. Similarly, the increasing demand for smart home technology has led to improvements in automation systems based on the Internet of Things (IoT). In the past, every system in the house relied on human observation and reaction, which made it a cumbersome procedure. Our proposed system demonstrates the design and deployment of an Internet of Things (IoT)-based home automation system that incorporates a number of sensors for real-time environmental control and monitoring. Several sensors make up the integrated system, including an LDR sensor .to measure light intensity, a DHT11 sensor to measure temperature and humidity, and a MQ135 sensor to measure air quality. Custom thresholds are applied to all of the sensor data in order to enable automated reactions to changes in the surrounding environment. For instance, the LDR measurements can be used to set the light control to turn on. All of the information gathered by these different sensors is sent to Adafruit.io, a cloud-based platform, for analysis and visualization. By providing us with information on the environment's repeating nature, all of those sensor data enable users to make accurate decisions and conduct long-term follow-ups. This study shows how IoT technology may be used practically to create affordable and successful home automation systems that improve convenience, energy efficiency, and environmental consciousness. Future improvements will involve adding more sensors for more utility and incorporating machine learning for predictive analytics.},
        keywords = {Weather Monitoring, IoT (Internet of Things) , Adaptive Home Systems, Real-time Data, Automation and Security, Smart Home Automation System},
        month = {December},
        }