The Internet of Things and Artificial Intelligence-Based Recommendation System for Automating Homes

Authors

  • Gadug Sudhamsu JAIN (Deemed-to-be University), Karnataka, India
  • Ravi Kumar Chitkara University, Rajpura, Punjab, India
  • Karishma Desai Department of ISME, ATLAS SkillTech University, Mumbai, Maharashtra, India
  • Dhananjay Kumar Yadav Maharishi University of Information Technology, Lucknow, India -226036
  • Pratik Pandey Vivekananda Global University, Jaipur

Keywords:

Internet of things, artificial intelligence, convolutional neural network, automatic homes

Abstract

Automation techniques for the home are becoming more popular as a result of the simplicity with which equipment and appliances may be controlled by speech or centered on physical activity by the use of sensors. Research suggests that introducing smartness to small businesses and regular users may be expensive and that there has to be an easier, more transparent, and more simple way to connect and manage equipment with mobile apps. Sensors and the Internet of Things (IoT) have enabled the rapid development of several electrical appliance prototypes into marketable final products. In this information time, there are not enough data-driven strategies for making the most of ceiling fans in homes and businesses. As a further advantage, Artificial Intelligence (AI) algorithms applied to data may help us uncover patterns that reflect appliance use and spot shifts in our daily routine. As a result, this study suggests a method to promote specific programs to those who have smart homes via the usage of IoT and AI.  With the resident's permission, the dataset includes information on the fans in their bedroom, living room, and lounge. A wide variety of experts, including data scientists, environmentalists, fan makers, architects, and social scientists, may benefit from this information. Monthly averages of temperature and humidity, energy used, hours of use per day or month, and monthly/weekly summaries are all available for analysis.

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References

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Published

24.03.2024

How to Cite

Sudhamsu, G. ., Kumar, R. ., Desai, K. ., Yadav, D. K. ., & Pandey, P. . (2024). The Internet of Things and Artificial Intelligence-Based Recommendation System for Automating Homes . International Journal of Intelligent Systems and Applications in Engineering, 12(19s), 792–797. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5211

Issue

Vol. 12 No. 19s (2024)

Section

Research Article

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