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Intelligent Baby Monitoring System Using Raspberry Pi and Sensors

Intelligent Baby Monitoring System Using Raspberry Pi and Sensors/strong>
Authors:-Sankalp shant, Shreelekha K, Siri Vennela KS, Tanya Raj, Dr .Nirmala S

Abstract-With the increased demand for advanced childcare solutions, the development of an intelligent and reliable baby monitoring system using the versatile Raspberry Pi has been encouraged. This project is focused on creating a comprehensive monitoring solution that prioritizes the safety and well-being of infants through the integration of sophisticated audio monitoring and environmental sensing capabilities using various sensors. This new system utilizes the central processing unit Raspberry Pi 4 Model B and interfaces nicely with high-quality microphone capability to pick up sound; it comes equipped with environmental sensors capable of monitoring essential conditions in temperature and humidity. The functionalities are advanced and include motion detection, which notifies caregivers upon any baby movement, while cry detection informs caregivers of a crying baby within seconds of its cry. A two-way audio system that connects caregivers with their children can converse and communicate with the baby real-time, providing yet another level of interaction and comfort. The application will be designed so that parents or guardians, through a mobile application, can have instant alerts when their baby’s condition arises from virtually any location. This system was designed to be cost-effective and easy to set up; it can be highly scaled to meet the needs of the users. There is always an integration for push notifications via mobile devices. By incorporating these advanced features and focusing on user-friendly design, this baby monitoring system represents a significant advancement in the realm of smart parenting tools, addressing the critical need for reliable and intelligent childcare solutions in contemporary households.

DOI: 10.61137/ijsret.vol.10.issue6.414

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Role of Data Mining and AI on Human Health

Role of Data Mining and AI on Human Health/strong>
Authors:-Dharmendra Kumar Nagrani, MR.B.L.Pal

Abstract-Data Mining and AI are revolutionize the medical field by providing enhanced understanding of disease trends, increasing accuracy in diagnosis, and driving the development of tailored healthcare solutions. This document investigate into how data mining and Artificial intelligence methodologies influence various dimensions of human health, with an emphasis on predictive analytics, diagnostic imaging, real time health tracking, and customized treatment options. Techniques in data analytics, including categorization, grouping, and rule based mining, are utilized on extensive data sets, assisting healthcare professionals in making informed data centric choices for disease prevention and management. AI techniques, featuring ML and deep learning frameworks , significantly improves diagnoses, particularly within medical Imaging, where these models showcase remarkable accuracy in detecting diseases at early stages. In addition, wearable technology and mobile health platforms offer continuous data for ongoing health assessment, facilitating timely medical interventions. Nonetheless, applying data mining and AI in healthcare, introduces challenges, especially concerning data privacy, interpretability of models and ethical issues. This research addresses these hurdles and proposes strategies to bolster data protection, enhance model clarity, Forster patient confidence. With ongoing progress and mindful applications, data mining and Artificial intelligence present considerable potential for enhancing health outcomes, supporting preventive measures and leading to individualized and precision medicines.

DOI: 10.61137/ijsret.vol.10.issue6.413

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