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AI BASED HOME AUTOMATION SYSTEM

Divya ., Nikita ., Sakshi ., Shreya ., Dr. M.S Aspalli

Abstract


Pulling power from a 5V DC source for the ESP32 and PIR sensor as well as a 12V DC source for the W1209 board, this solution not only automates lighting and fan operations based on the occupancy and temperature conditions, but also provides the Wi-Fi capability to obtain real-time status updates and remote adjustments, resulting in considerable energy savings and user experience. It is a user-friendly system, and at the same time, it is scalable; therefore, it is the most effective for performing the task of a modern interconnected household.


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References


Jasmine Guth, et. al., “A Detailed Analysis of IOT Platform Architectures: Concepts, Similarities, and Differences”, Springer Verlag, 2018.

Chaudhury, P., & Tripathy, H. K. (2017). An empirical study on attribute selection of student performance prediction model. International Journal of Learning Technology, 12(3), 241-252.

Smart Security System”, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 6, Issue 4, April 2017.

Dhaka Kunal, Dhak Tushar, Undegaonkar Pooja, Zope Vaibhav, Vinay Lodha, “Smart Home Automation using IoT”, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 5, Issue 2, February 2016.

Tahoun, M., Almazroi, A.A., Alqarni, M.A., Gaber, T., Mahmoud, E.E., & Eltoukhy, M.M. (2020). A Grey Wolf-Based Method for Mammographic Mass Classification. Applied Sciences.

S. Kumar and S. R. Lee, "Android based smart home system with control via Bluetooth and internet connectivity," The 18th IEEE International Symposium on Consumer Electronics (ISCE 2014), Jeju Island, 2014.

Ghosh, S., & Mishra, S. (2022, November). Intelligent Virtual Ambulance Model using Predictive Learning. In 2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC) (pp. 1-5). IEEE.

A .Srivastava, S. Samanta, S. Mishra, A. Alkhayyat, D. Gupta and V. Sharma, "Medi-Assist: A Decision Tree based Chronic Diseases Detection Model," 2023 4th International Conference on Intelligent Engineering and Management (ICIEM), London, United Kingdom, 2023, pp. 1-7, doi: 10.1109/ICIEM59379.2023.10167400.

Mukherjee, D., Raj, I., & Mishra, S. (2022). Song Recommendation Using Mood Detection with Xception Model. In Cognitive Informatics and Soft Computing: Proceeding of CISC 2021 (pp. 491-501). Singapore: Springer Nature Singapore.

Maithili, K. ., Latha, Y. M. ., Gangopadhyay, A. ., Varghese, I. K. Sundaram, A. ., Pandey, C. ., & Kiran, A. . (2023). Optimized CNN Model for Diabetic Retinopathy Detection and Classification. International Journal of Intelligent Systems and Applications in Engineering, 11(7s), 317–331 Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2957.


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