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@article{175028,
        author = {Pallavi R and Shwetha L},
        title = {AI Based Human Health Remote Supervision with Wireless Sensors},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {1537-1540},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175028},
        abstract = {Healthcare technology has significantly advanced, leading to extended lifespans for many individuals. However, individuals residing in rural areas continue to encounter challenges in various aspects accessing professional healthcare services due to geographical barriers and shortages of medical personnel. This paper proposes An Internet of Things (IoT)-enabled system for real-time remote monitoring of patients aimed at overcoming these challenges. By utilizing sensors such as Heart Rate, Temperature, Sweat, and Spo2 sensors, the system collects vital patient data which is then transmitted to the cloud for analysis. Anaconda software is employed for data processing, ensuring the integrity and accuracy of real-time patient information. Through the implementation of this system, rural communities can derive advantages from improved access to healthcare services and timely intervention, ultimately enhancing overall health outcomes.},
        keywords = {Healthcare technology, rural healthcare, Internet of Things (IoT), remote patient monitoring, sensors, Heart Rate, Temperature, Sweat, Spo2, real-time, cloud, Anaconda software, data processing, access to healthcare, timely intervention, health outcomes.},
        month = {April},
        }