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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM4836

CLASSROOM AUTOMATION USING NLP

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM4836

Volume:

4 |

7 |

Jul 2020

Pages:

Publication Frequency:

Monthly (12 issues per year)

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License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

BR

B.Hanumantha Rao

K

K.Bhavana

SF

Sk.Ameer Fathima

BP

B.Siva Parvathi

AR

A.Narasimha Rao

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Abstract

This project aims to develop an automated lighting and ventilation system using the ESP32 microcontroller, which detects human presence and manages the operation of lights and fans accordingly. The primary objective is to enhance energy efficiency in indoor environments by activating the light and fan only when people are detected, and deactivating them when the space is unoccupied. The system employs an ultrasonic sensor for accurate people detection, which communicates with the ESP32. When the sensor detects movement, it triggers the lights and fan to turn on; conversely, when no movement is detected for a specified duration, both devices are switched off. Additionally, the system integrates an SMS alert feature that notifies users via a mobile message whenever the lights and fan are activated or deactivated, ensuring remote monitoring of energy usage.

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Cite This Article

B.Hanumantha Rao, K.Bhavana, Sk.Ameer Fathima, B.Siva Parvathi, A.Narasimha Rao, "CLASSROOM AUTOMATION USING NLP," International Journal of Scientific Research in Engineering and Management, vol. 4, no. 7, Jul 2020.

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Publication Date

3/16/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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