MRI
MRI India Journals Vol. 14 No. 1 (2025)

Neurohub

Authors

  • Akshada yeole U.G. Student, Department of Artificial Intelligence and Data Science, DYPCOEI, Varale, Maharashtra, India.
  • Sneha Bankar U.G. Student, Department of Artificial Intelligence and Data Science, DYPCOEI, Varale, Maharashtra, India.

DOI:

https://doi.org/10.65521/ijacect.v14i1.589

Keywords:

AI IOT Smart Home Embedded Systems Sensor Technology

Abstract

This paper discusses a home automation system that combines Artificial Intelligence (AI) with the Internet of Things (IOT). The system integrates AI algorithms with various electronic sensors to automate tasks in a home environment. At the core of this system is an Arduino-based controller module, which connects to different sensors. These sensors collect data according to their specifications and send it to the microcontroller for analysis and processing. Once the data is received, the AI system activates certain actions based on the sensor readings. For example, if the room temperature becomes too cool, the system will automatically turn off the fan or air conditioner. The system also includes a face recognition feature that controls the opening and closing of doors, as well as issuing alerts when necessary. Additionally, a water level sensor is used to monitor the tank’s water level, which triggers the motor pump to turn on or off accordingly. Furthermore, smoke sensor detects high smoke levels in the house and provides an alert if the smoke concentration is too high.

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Published

2025-06-05

How to Cite

yeole, A., & Bankar, S. (2025). Neurohub. International Journal on Advanced Computer Engineering and Communication Technology, 14(1), 552–558. https://doi.org/10.65521/ijacect.v14i1.589

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